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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 31
Volume 31, Number 1, January 2020
- Haibo He:
Editorial: Another Successful Year and Looking Forward to 2020. 2-3 - Olga Krestinskaya
, Alex Pappachen James, Leon Ong Chua:
Neuromemristive Circuits for Edge Computing: A Review. 4-23 - Gouhei Tanaka, Ryosho Nakane, Tomoya Takeuchi, Toshiyuki Yamane, Daiju Nakano, Yasunao Katayama, Akira Hirose:
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory. 24-38 - Yiqun Zhang, Yiu-Ming Cheung, Kay Chen Tan:
A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. 39-52 - Wooseok Yi, Junki Park, Jae-Joon Kim:
GeCo: Classification Restricted Boltzmann Machine Hardware for On-Chip Semisupervised Learning and Bayesian Inference. 53-65 - Yan-Jun Liu, Lei Ma, Lei Liu, Shaocheng Tong, C. L. Philip Chen:
Adaptive Neural Network Learning Controller Design for a Class of Nonlinear Systems With Time-Varying State Constraints. 66-75 - Biao Luo, Yin Yang, Derong Liu, Huai-Ning Wu:
Event-Triggered Optimal Control With Performance Guarantees Using Adaptive Dynamic Programming. 76-88 - Yu Hui, Ronghu Chi, Biao Huang, Zhongsheng Hou:
3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks. 89-99 - Lukas Gonon, Juan-Pablo Ortega:
Reservoir Computing Universality With Stochastic Inputs. 100-112 - Panteleimon Chriskos, Christos A. Frantzidis, Polyxeni T. Gkivogkli, Panagiotis D. Bamidis, Chrysoula Kourtidou-Papadeli:
Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images. 113-123 - Ming-Hsiang Su, Chung-Hsien Wu, Kun-Yi Huang, Tsung-Hsien Yang:
Cell-Coupled Long Short-Term Memory With L-Skip Fusion Mechanism for Mood Disorder Detection Through Elicited Audiovisual Features. 124-135 - Abdul Saleem Mir, Nilanjan Senroy:
Self-Tuning Neural Predictive Control Scheme for Ultrabattery to Emulate a Virtual Synchronous Machine in Autonomous Power Systems. 136-147 - Shuangming Yang, Bin Deng, Jiang Wang, Huiyan Li, Meili Lu, Yanqiu Che, Xile Wei, Kenneth A. Loparo:
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons. 148-162 - Haiyu Song, Peng Shi, Cheng-Chew Lim, Wen-An Zhang, Li Yu:
Set-Membership Estimation for Complex Networks Subject to Linear and Nonlinear Bounded Attacks. 163-173 - François Rivest, Richard Kohar:
A New Timing Error Cost Function for Binary Time Series Prediction. 174-185 - Yinghuan Shi, Heung-Il Suk, Yang Gao, Seong-Whan Lee, Dinggang Shen:
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. 186-200 - Antonio Díaz Ramos, Ezequiel López-Rubio, Esteban J. Palomo:
The Forbidden Region Self-Organizing Map Neural Network. 201-211 - Qing-Yuan Xu, Xiao-Dong Li:
HONN-Based Adaptive ILC for Pure-Feedback Nonaffine Discrete-Time Systems With Unknown Control Directions. 212-224 - Huifang Min, Shengyuan Xu, Jason Gu, Baoyong Zhang, Zhengqiang Zhang:
Further Results on Adaptive Stabilization of High-Order Stochastic Nonlinear Systems Subject to Uncertainties. 225-234 - Haifeng Niu, Chandreyee Bhowmick, Sarangapani Jagannathan:
Attack Detection and Approximation in Nonlinear Networked Control Systems Using Neural Networks. 235-245 - Ping Zhong, Zhiqiang Gong, Jiaxin Shan:
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations. 246-258 - Chaoxu Mu, Yong Zhang:
Learning-Based Robust Tracking Control of Quadrotor With Time-Varying and Coupling Uncertainties. 259-273 - Wei Huang, Liang Gao:
A Time Wave Neural Network Framework for Solving Time-Dependent Project Scheduling Problems. 274-283 - Xuan Zhang, Lei Jiao, B. John Oommen, Ole-Christoffer Granmo:
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton. 284-294 - Weidi Xu, Ying Tan:
Semisupervised Text Classification by Variational Autoencoder. 295-308 - Zhe Yang, Sameer Al-Dahidi, Piero Baraldi, Enrico Zio, Lorenzo Montelatici:
A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments. 309-320 - Zhong Ji, Yuxin Sun, Yunlong Yu, Yanwei Pang, Jungong Han:
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing. 321-330 - Janusz A. Starzyk, Lukasz Maciura, Adrian Horzyk:
Associative Memories With Synaptic Delays. 331-344 - Davide Bacciu, Francesco Crecchi:
Augmenting Recurrent Neural Networks Resilience by Dropout. 345-351 - Masaki Kobayashi:
Noise Robust Projection Rule for Hyperbolic Hopfield Neural Networks. 352-356
Volume 31, Number 2, February 2020
- Balint Petro, Nikola K. Kasabov, Rita M. Kiss:
Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks. 358-370 - Massimiliano Luzi, Fabio Massimo Frattale Mascioli, Maurizio Paschero, Antonello Rizzi:
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells. 371-382 - Shuhui Jiang, Haiyi Mao, Zhengming Ding, Yun Fu:
Deep Decision Tree Transfer Boosting. 383-395 - Amir Parviz Valadbeigi, Ali Khaki-Sedigh, Frank L. Lewis:
H∞ Static Output-Feedback Control Design for Discrete-Time Systems Using Reinforcement Learning. 396-406 - Fei Gao, Weisheng Chen, Zhiwu Li, Jing Li, Bin Xu:
Neural Network-Based Distributed Cooperative Learning Control for Multiagent Systems via Event-Triggered Communication. 407-419 - Mohsen Khalili, Xiaodong Zhang, Yongcan Cao, Marios M. Polycarpou, Thomas Parisini:
Distributed Fault-Tolerant Control of Multiagent Systems: An Adaptive Learning Approach. 420-432 - Xiaowei Zhao, Jun Guo, Feiping Nie, Ling Chen, Zhihui Li, Huaxiang Zhang:
Joint Principal Component and Discriminant Analysis for Dimensionality Reduction. 433-444 - Min Gan, Guang-Yong Chen, Long Chen, C. L. Philip Chen:
Term Selection for a Class of Separable Nonlinear Models. 445-451 - Hongwei Chen, Jinling Liang:
Local Synchronization of Interconnected Boolean Networks With Stochastic Disturbances. 452-463 - Soheila Nazari, Masoud Amiri, Karim Faez, Marc M. Van Hulle:
Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance. 464-474 - Delin Hu, Jinku Li, Yinyan Liu, Yi Li:
Flow Adversarial Networks: Flowrate Prediction for Gas-Liquid Multiphase Flows Across Different Domains. 475-487 - Xiangyu Deng, Chunman Yan, Yide Ma:
PCNN Mechanism and its Parameter Settings. 488-501 - Han Bao, Aihuang Hu, Wenbo Liu, Bocheng Bao:
Hidden Bursting Firings and Bifurcation Mechanisms in Memristive Neuron Model With Threshold Electromagnetic Induction. 502-511 - Anis Yazidi, Xuan Zhang, Lei Jiao, B. John Oommen:
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions. 512-526 - Rui Wang, Naihua Xiu, Chao Zhang:
Greedy Projected Gradient-Newton Method for Sparse Logistic Regression. 527-538 - Lyes Saad Saoud, Reza Ghorbani:
Metacognitive Octonion-Valued Neural Networks as They Relate to Time Series Analysis. 539-548 - Shuping He, Haiyang Fang, Maoguang Zhang, Fei Liu, Zhengtao Ding:
Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach. 549-558 - Guan-Ju Peng:
Joint and Direct Optimization for Dictionary Learning in Convolutional Sparse Representation. 559-573 - Shaohui Lin, Rongrong Ji, Yuchao Li, Cheng Deng, Xuelong Li:
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. 574-588 - Kan Xie, Guoxu Zhou, Junjie Yang, Zhaoshui He, Shengli Xie:
Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins. 589-599 - Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Marginalized Multiview Ensemble Clustering. 600-611 - Tianyu Hu, Qinglai Guo, Zhengshuo Li, Xinwei Shen, Hongbin Sun:
Distribution-Free Probability Density Forecast Through Deep Neural Networks. 612-625 - Fang He, Feiping Nie, Rong Wang, Xuelong Li, Weimin Jia:
Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data. 626-638 - Ning Li, Wei Xing Zheng:
Passivity Analysis for Quaternion-Valued Memristor-Based Neural Networks With Time-Varying Delay. 639-650 - Andrey V. Savchenko:
Probabilistic Neural Network With Complex Exponential Activation Functions in Image Recognition. 651-660 - Jun Yu, Chaoyang Zhu, Jian Zhang, Qingming Huang, Dacheng Tao:
Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition. 661-674 - Jun Chen, Ju H. Park, Shengyuan Xu:
Stability Analysis for Delayed Neural Networks With an Improved General Free-Matrix-Based Integral Inequality. 675-684 - Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao:
G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features. 685-699 - Guodong Zhang, Zhigang Zeng:
Stabilization of Second-Order Memristive Neural Networks With Mixed Time Delays via Nonreduced Order. 700-706
Volume 31, Number 3, March 2020
- Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Heterogeneous Multilayer Generalized Operational Perceptron. 710-724 - Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang:
LABIN: Balanced Min Cut for Large-Scale Data. 725-736 - Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo:
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. 737-748 - Jicong Fan, Tommy W. S. Chow:
Exactly Robust Kernel Principal Component Analysis. 749-761 - Hao Shen, Shicheng Huo, Huaicheng Yan, Ju H. Park, Victor Sreeram:
Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling. 762-771 - Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Compact and Computationally Efficient Representation of Deep Neural Networks. 772-785 - Zhengming Li, Zheng Zhang, Jie Qin, Zhao Zhang, Ling Shao:
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition. 786-800 - Xinxing Wu, Junping Zhang, Fei-Yue Wang:
Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data. 801-812 - Zhibin Quan, Weili Zeng, Xuelian Li, Yandong Liu, Yunxiu Yu, Wankou Yang:
Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences. 813-826 - Giuseppe Carlo Calafiore, Stephane Gaubert, Corrado Possieri:
Log-Sum-Exp Neural Networks and Posynomial Models for Convex and Log-Log-Convex Data. 827-838 - Hongxin Wang, Jigen Peng, Xuqiang Zheng, Shigang Yue:
A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds. 839-853 - Carlos J. Vega, Oscar J. Suarez, Edgar N. Sánchez, Guanrong Chen, Santiago Elvira-Ceja, David Rodriguez-Castellanos:
Trajectory Tracking on Uncertain Complex Networks via NN-Based Inverse Optimal Pinning Control. 854-864 - Gonzalo Nápoles, Frank Vanhoenshoven, Rafael Falcon, Koen Vanhoof:
Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks. 865-875 - Jia Liu, Maoguo Gong, A. Kai Qin, Kay Chen Tan:
Bipartite Differential Neural Network for Unsupervised Image Change Detection. 876-890 - Xin Wang, Ju H. Park, Shouming Zhong, Huilan Yang:
A Switched Operation Approach to Sampled-Data Control Stabilization of Fuzzy Memristive Neural Networks With Time-Varying Delay. 891-900 - Tong Yang, Ning Sun, He Chen, Yongchun Fang:
Neural Network-Based Adaptive Antiswing Control of an Underactuated Ship-Mounted Crane With Roll Motions and Input Dead Zones. 901-914 - Chun-Na Li, Yuan-Hai Shao, Wotao Yin, Ming-Zeng Liu:
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. 915-926 - Qibin Zheng, Xingchun Diao, Jianjun Cao, Yi Liu, Hongmei Li, Junnan Yao, Chen Chang, Guojun Lv:
From Whole to Part: Reference-Based Representation for Clustering Categorical Data. 927-937 - Alessandro Betti, Marco Gori, Stefano Melacci:
Cognitive Action Laws: The Case of Visual Features. 938-949 - Jeremias B. Machado, Sidney N. Givigi:
Convolutional Neural Networks as Asymmetric Volterra Models Based on Generalized Orthonormal Basis Functions. 950-959 - Wen Sun, Junxia Guan, Jinhu Lü, Zhigang Zheng, Xinghuo Yu, Shihua Chen:
Synchronization of the Networked System With Continuous and Impulsive Hybrid Communications. 960-971 - Huanqing Wang, Peter Xiaoping Liu, Jialei Bao, Xue-Jun Xie, Shuai Li:
Adaptive Neural Output-Feedback Decentralized Control for Large-Scale Nonlinear Systems With Stochastic Disturbances. 972-983 - Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot:
Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization. 984-996 - Jia Jia, Xia Huang, Yuxia Li, Jinde Cao, Ahmed Alsaedi:
Global Stabilization of Fractional-Order Memristor-Based Neural Networks With Time Delay. 997-1009 - Qikun Shen, Peng Shi, Junwu Zhu, Shuoyu Wang, Yan Shi:
Neural Networks-Based Distributed Adaptive Control of Nonlinear Multiagent Systems. 1010-1021 - Yang Liu, Yanling Zheng, Jianquan Lu, Jinde Cao, Leszek Rutkowski:
Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach. 1022-1035 - Wencheng Zou, Peng Shi, Zhengrong Xiang, Yan Shi:
Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy. 1036-1045 - Bowen Li, Yang Liu, Jungang Lou, Jianquan Lu, Jinde Cao:
The Robustness of Outputs With Respect to Disturbances for Boolean Control Networks. 1046-1051 - Tairen Sun, Liang Peng, Long Cheng, Zeng-Guang Hou, Yongping Pan:
Composite Learning Enhanced Robot Impedance Control. 1052-1059 - Lin Lin, Jinde Cao, Leszek Rutkowski:
Robust Event-Triggered Control Invariance of Probabilistic Boolean Control Networks. 1060-1065 - Abdul Wahab, Shujaat Khan:
Comments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach". 1066-1068
Volume 31, Number 4, April 2020
- Zongsheng Yue, Hongwei Yong, Deyu Meng, Qian Zhao, Yee Leung, Lei Zhang:
Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise. 1070-1083 - Matthew D. Egbert, Valerie Jeong, Claire M. Postlethwaite:
Where Computation and Dynamics Meet: Heteroclinic Network-Based Controllers in Evolutionary Robotics. 1084-1097 - Li Wang, Ren-Cang Li:
Learning Low-Dimensional Latent Graph Structures: A Density Estimation Approach. 1098-1112 - Samuel N. Pagliarini, Sudipta Bhuin, Mehmet Meric Isgenc, Ayan Kumar Biswas, Lawrence T. Pileggi:
A Probabilistic Synapse With Strained MTJs for Spiking Neural Networks. 1113-1123 - Ozan Irsoy, Ethem Alpaydin:
Continuously Constructive Deep Neural Networks. 1124-1133 - Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng:
Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty. 1134-1144 - Jiasen Wang, Jun Wang, Hangjun Che:
Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization. 1145-1154 - Seaar Al Dabooni, Donald C. Wunsch:
An Improved N-Step Value Gradient Learning Adaptive Dynamic Programming Algorithm for Online Learning. 1155-1169 - Qiongxia Yu, Zhongsheng Hou, Xuhui Bu, Qiongfang Yu:
RBFNN-Based Data-Driven Predictive Iterative Learning Control for Nonaffine Nonlinear Systems. 1170-1182 - Fabien Lauer:
Error Bounds for Piecewise Smooth and Switching Regression. 1183-1195 - Dong Shen, Ganggui Qu:
Performance Enhancement of Learning Tracking Systems Over Fading Channels With Multiplicative and Additive Randomness. 1196-1210 - Rakesh Kumar, Shreemoyee Sarkar, Subir Das, Jinde Cao:
Projective Synchronization of Delayed Neural Networks With Mismatched Parameters and Impulsive Effects. 1211-1221 - Yang Liu, Xiaoping Liu, Yuanwei Jing, Xiangyong Chen, Jianlong Qiu:
Direct Adaptive Preassigned Finite-Time Control With Time-Delay and Quantized Input Using Neural Network. 1222-1231 - Yingqi Zhang, Peng Shi, Ramesh K. Agarwal, Yan Shi:
Event-Based Dissipative Analysis for Discrete Time-Delay Singular Jump Neural Networks. 1232-1241 - Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Completely Automated CNN Architecture Design Based on Blocks. 1242-1254 - Seaar Al Dabooni, Donald C. Wunsch:
Online Model-Free n-Step HDP With Stability Analysis. 1255-1269 - Kaixin Lu, Zhi Liu, C. L. Philip Chen, Yun Zhang:
Event-Triggered Neural Control of Nonlinear Systems With Rate-Dependent Hysteresis Input Based on a New Filter. 1270-1284 - Chaofei Hong, Xile Wei, Jiang Wang, Bin Deng, Haitao Yu, Yanqiu Che:
Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes. 1285-1296 - Yundi Chu, Juntao Fei, Shixi Hou:
Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure. 1297-1309 - Hangyu Zhu, Yaochu Jin:
Multi-Objective Evolutionary Federated Learning. 1310-1322 - Guangming Zhu, Liang Zhang, Lu Yang, Lin Mei, Syed Afaq Ali Shah, Mohammed Bennamoun, Peiyi Shen:
Redundancy and Attention in Convolutional LSTM for Gesture Recognition. 1323-1335 - Qian Zhao, Xiangyu Rui, Zhi Han, Deyu Meng:
Multilinear Multitask Learning by Rank-Product Regularization. 1336-1350 - Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin:
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation. 1351-1362 - Xinjie Wang, Yaochu Jin, Kuangrong Hao:
Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. 1363-1374 - Bin Xu, Rui Zhang, Shuai Li, Wei He, Zhongke Shi:
Composite Neural Learning-Based Nonsingular Terminal Sliding Mode Control of MEMS Gyroscopes. 1375-1386 - Kaixiang Yang, Zhiwen Yu, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You:
Hybrid Classifier Ensemble for Imbalanced Data. 1387-1400 - Haibin Sun, Linlin Hou, Guangdeng Zong, Xinghuo Yu:
Adaptive Decentralized Neural Network Tracking Control for Uncertain Interconnected Nonlinear Systems With Input Quantization and Time Delay. 1401-1409 - Piyush Kaul, Brejesh Lall:
Riemannian Curvature of Deep Neural Networks. 1410-1416 - Pengfei Ge, Chuan-Xian Ren, Dao-Qing Dai, Jiashi Feng, Shuicheng Yan:
Dual Adversarial Autoencoders for Clustering. 1417-1424
Volume 31, Number 5, May 2020
- Ju-Youn Park, Jong-Hwan Kim:
Online Incremental Classification Resonance Network and Its Application to Human-Robot Interaction. 1426-1436 - Conghui Zheng, Li Pan, Peng Wu:
Multimodal Deep Network Embedding With Integrated Structure and Attribute Information. 1437-1449 - Xiao-Meng Li, Bin Zhang, Panshuo Li, Qi Zhou, Renquan Lu:
Finite-Horizon $H_{\infty}$ State Estimation for Periodic Neural Networks Over Fading Channels. 1450-1460 - Nanjun He, Leyuan Fang, Shutao Li, Javier Plaza, Antonio Plaza:
Skip-Connected Covariance Network for Remote Sensing Scene Classification. 1461-1474 - Xin Yu, Lingzhen Wu, Chenhua Xu, Yue Hu, Chong Ma:
A Novel Neural Network for Solving Nonsmooth Nonconvex Optimization Problems. 1475-1488 - Guoliang Chen, Jian Sun, Jianwei Xia:
Estimation of Domain of Attraction for Aperiodic Sampled-Data Switched Delayed Neural Networks Subject to Actuator Saturation. 1489-1503 - Sabri Arik:
New Criteria for Stability of Neutral-Type Neural Networks With Multiple Time Delays. 1504-1513 - Yongliang Tang, Weiguo Gong, Xi Chen, Weihong Li:
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single-Image Super-Resolution. 1514-1528 - Weiying Xie, Jie Lei, Yuhang Cui, Yunsong Li, Qian Du:
Hyperspectral Pansharpening With Deep Priors. 1529-1543 - Yidi Wang, Zhibin Pan, Yiwei Pan:
A Training Data Set Cleaning Method by Classification Ability Ranking for the $k$ -Nearest Neighbor Classifier. 1544-1556 - Xiao-Fang Liu, Zhi-Hui Zhan, Tianlong Gu, Sam Kwong, Zhenyu Lu, Henry Been-Lirn Duh, Jun Zhang:
Neural Network-Based Information Transfer for Dynamic Optimization. 1557-1570 - Wenchao Meng, Peter Xiaoping Liu, Qinmin Yang, Youxian Sun:
Distributed Synchronization Control of Nonaffine Multiagent Systems With Guaranteed Performance. 1571-1580 - Kai Zhong, Min Han, Tie Qiu, Bing Han:
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis. 1581-1591 - Runwu Zhou, Xiaojun Chang, Lei Shi, Yi-Dong Shen, Yi Yang, Feiping Nie:
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning. 1592-1601 - Samer S. Saab, Dong Shen:
Multidimensional Gains for Stochastic Approximation. 1602-1615 - Junhui Zhang, Anni Li, Wei D. Lu, Jitao Sun:
Stabilization of Mode-Dependent Impulsive Hybrid Systems Driven by DFA With Mixed-Mode Effects. 1616-1625 - Haiyang Li, Qian Zhang, Angang Cui, Jigen Peng:
Minimization of Fraction Function Penalty in Compressed Sensing. 1626-1637 - Sen Jia, Zhijie Lin, Bin Deng, Jiasong Zhu, Qingquan Li:
Cascade Superpixel Regularized Gabor Feature Fusion for Hyperspectral Image Classification. 1638-1652 - Risheng Liu, Zhiying Jiang, Xin Fan, Zhongxuan Luo:
Knowledge-Driven Deep Unrolling for Robust Image Layer Separation. 1653-1666 - Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao:
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. 1667-1680 - Xuefei Zhe, Shifeng Chen, Hong Yan:
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss. 1681-1695 - Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang:
Energy Disaggregation via Deep Temporal Dictionary Learning. 1696-1709 - Mitchel Alioscha-Pérez, Meshia Cédric Oveneke, Hichem Sahli:
SVRG-MKL: A Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems. 1710-1723 - Wei Liu, Jie Huang:
Cooperative Adaptive Output Regulation for Lower Triangular Nonlinear Multi-Agent Systems Subject to Jointly Connected Switching Networks. 1724-1734 - Wei He, Yongkun Sun, Zichen Yan, Chenguang Yang, Zhijun Li, Okyay Kaynak:
Disturbance Observer-Based Neural Network Control of Cooperative Multiple Manipulators With Input Saturation. 1735-1746 - Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie:
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. 1747-1756 - Wencheng Zou, Peng Shi, Zhengrong Xiang, Yan Shi:
Finite-Time Consensus of Second-Order Switched Nonlinear Multi-Agent Systems. 1757-1762 - Raghavan Krishnan, Sarangapani Jagannathan, V. A. Samaranayake:
Direct Error-Driven Learning for Deep Neural Networks With Applications to Big Data. 1763-1770 - Bo Liu, Zhengtao Ding, Chen Lv:
Distributed Training for Multi-Layer Neural Networks by Consensus. 1771-1778
Volume 31, Number 6, June 2020
- Ying Ma, José C. Príncipe:
A Taxonomy for Neural Memory Networks. 1780-1793 - Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. 1794-1807 - Dan Yang, Xiaodi Li, Shiji Song:
Design of State-Dependent Switching Laws for Stability of Switched Stochastic Neural Networks With Time-Delays. 1808-1819 - Xuesong Wang, Yang Gu, Yuhu Cheng, Aiping Liu, C. L. Philip Chen:
Approximate Policy-Based Accelerated Deep Reinforcement Learning. 1820-1830 - Shaolin Tan, Yaonan Wang:
Graphical Nash Equilibria and Replicator Dynamics on Complex Networks. 1831-1842 - Daqi Liu, Nicola Bellotto, Shigang Yue:
Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements. 1843-1855 - Daniele Grattarola, Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds. 1856-1869 - Zhi Wang, Han-Xiong Li, Chunlin Chen:
Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting. 1870-1883 - Xin Su, Shangqi Guo, Tian Tan, Feng Chen:
Generative Memory for Lifelong Learning. 1884-1898 - Xiaoping Lai, Jiuwen Cao, Xiaofeng Huang, Tianlei Wang, Zhiping Lin:
A Maximally Split and Relaxed ADMM for Regularized Extreme Learning Machines. 1899-1913 - Sitian Qin, Qiang Ma, Jiqiang Feng, Chen Xu:
Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays. 1914-1926 - Kan Xie, Ziliang Lyu, Zhi Liu, Yun Zhang, C. L. Philip Chen:
Adaptive Neural Quantized Control for a Class of MIMO Switched Nonlinear Systems With Asymmetric Actuator Dead-Zone. 1927-1941 - Chang Liu, Yi Lu Murphey:
Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles. 1942-1954 - Jun Hu, Zidong Wang, Guo-Ping Liu, Hongxu Zhang:
Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling. 1955-1967 - Min Wang, Zidong Wang, Yun Chen, Weiguo Sheng:
Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy. 1968-1981 - Chengda Lu, Min Wu, Yong He:
Stubborn State Estimation for Delayed Neural Networks Using Saturating Output Errors. 1982-1994 - Ziqiang Xu, Chuandong Li, Yiyan Han:
Impulsive Consensus of Nonlinear Multi-Agent Systems via Edge Event-Triggered Control. 1995-2004 - Kui Yu, Lin Liu, Jiuyong Li:
Learning Markov Blankets From Multiple Interventional Data Sets. 2005-2019 - Youshen Xia, Jun Wang, Wenzhong Guo:
Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming. 2020-2029 - Jiachen Yang, Jiabao Man, Meng Xi, Xinbo Gao, Wen Lu, Qinggang Meng:
Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship. 2030-2041 - Mathias Thor, Poramate Manoonpong:
Error-Based Learning Mechanism for Fast Online Adaptation in Robot Motor Control. 2042-2051 - Xiaoqiang Lu, Yaxiong Chen, Xuelong Li:
Discrete Deep Hashing With Ranking Optimization for Image Retrieval. 2052-2063 - Haoran Li, Qichao Zhang, Dongbin Zhao:
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment. 2064-2076 - Ziquan Yu, Zhixiang Liu, Youmin Zhang, Yaohong Qu, Chun-Yi Su:
Distributed Finite-Time Fault-Tolerant Containment Control for Multiple Unmanned Aerial Vehicles. 2077-2091 - Deqiang Zeng, Ruimei Zhang, Ju H. Park, Zhilin Pu, Yajuan Liu:
Pinning Synchronization of Directed Coupled Reaction-Diffusion Neural Networks With Sampled-Data Communications. 2092-2103 - Xiangyu Wang, Shihua Li, Guodong Wang:
Distributed Optimization for Disturbed Second-Order Multiagent Systems Based on Active Antidisturbance Control. 2104-2117 - Noureddine Kermiche:
Contrastive Hebbian Feedforward Learning for Neural Networks. 2118-2128 - Rongjian Liu, Jianquan Lu, Wei Xing Zheng, Jürgen Kurths:
Output Feedback Control for Set Stabilization of Boolean Control Networks. 2129-2139 - Hui Liu, Xiaohua Li, Xiaoping Liu, Huanqing Wang:
Adaptive Neural Network Prescribed Performance Bounded- $H_{\infty}$ Tracking Control for a Class of Stochastic Nonlinear Systems. 2140-2152 - Shuangyan Yi, Zhenyu He, Xiao-Yuan Jing, Yi Li, Yiu-Ming Cheung, Feiping Nie:
Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection. 2153-2163 - Kuan-Hung Shih, Ching-Te Chiu, Jiou-Ai Lin, Yen-Yu Bu:
Real-Time Object Detection With Reduced Region Proposal Network via Multi-Feature Concatenation. 2164-2173 - Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. 2174-2188 - Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao:
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search. 2189-2201 - Mitsuru Toyoda, Yuhu Wu:
On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks. 2202-2208 - Jing-Jing Xiong, Guo-Bao Zhang, Jun-Xiao Wang, Tianhong Yan:
Improved Sliding Mode Control for Finite-Time Synchronization of Nonidentical Delayed Recurrent Neural Networks. 2209-2216 - Majid Mohammadi:
A Projection Neural Network for the Generalized Lasso. 2217-2221 - Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa, Massimiliano Di Ventra:
Stress-Testing Memcomputing on Hard Combinatorial Optimization Problems. 2222-2226 - John Sum, Chi-Sing Leung, Kevin Ho:
A Limitation of Gradient Descent Learning. 2227-2232
Volume 31, Number 7, July 2020
- Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. 2236-2239 - Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo:
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. 2240-2254 - Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori:
Multioutput Convolution Spectral Mixture for Gaussian Processes. 2255-2266 - Bo-Jian Hou, Zhi-Hua Zhou:
Learning With Interpretable Structure From Gated RNN. 2267-2279 - Jorge Gonzalez-Lopez, Sebastián Ventura, Alberto Cano:
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information. 2280-2293 - Changsheng Li, Chong Liu, Lixin Duan, Peng Gao, Kai Zheng:
Reconstruction Regularized Deep Metric Learning for Multi-Label Image Classification. 2294-2303 - Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao:
RoSeq: Robust Sequence Labeling. 2304-2314 - Tong Wei, Yufeng Li:
Does Tail Label Help for Large-Scale Multi-Label Learning? 2315-2324 - Huiting Hong, Xin Li, Mingzhong Wang:
GANE: A Generative Adversarial Network Embedding. 2325-2335 - Yuhui Zheng, Huihui Song, Kaihua Zhang, Jiaqing Fan, Xinyan Liu:
Dynamically Spatiotemporal Regularized Correlation Tracking. 2336-2347 - Yazhou Yao, Fumin Shen, Guo-Sen Xie, Li Liu, Fan Zhu, Jian Zhang, Heng Tao Shen:
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories. 2348-2360 - Haofeng Zhang, Huaqi Mao, Yang Long, Wankou Yang, Ling Shao:
A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes. 2361-2375 - Qinbin Li, Zeyi Wen, Bingsheng He:
Adaptive Kernel Value Caching for SVM Training. 2376-2386 - Zengmao Wang, Bo Du, Yuhong Guo:
Domain Adaptation With Neural Embedding Matching. 2387-2397 - Zheng-Jun Zha, Chong Wang, Dong Liu, Hongtao Xie, Yongdong Zhang:
Robust Deep Co-Saliency Detection With Group Semantic and Pyramid Attention. 2398-2408 - Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
Survey on Multi-Output Learning. 2409-2429 - Min Chen, Yixue Hao:
Label-less Learning for Emotion Cognition. 2430-2440 - Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-Aware Covariance Estimator From Compressed Data. 2441-2454 - Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao:
Robust Student Network Learning. 2455-2468 - Yaser Keneshloo, Tian Shi, Naren Ramakrishnan, Chandan K. Reddy:
Deep Reinforcement Learning for Sequence-to-Sequence Models. 2469-2489 - Venkataraman Santhanam, Larry S. Davis:
A Generic Improvement to Deep Residual Networks Based on Gradient Flow. 2490-2499 - Xiaobai Liu, Qian Xu, Grayson Adkins, Eric Medwedeff, Liang Lin, Shuicheng Yan:
Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing. 2500-2509 - Yuheng Jia, Sam Kwong, Junhui Hou, Wenhui Wu:
Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization. 2510-2521 - Nam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck:
Benchmarking Neural Networks For Quantum Computations. 2522-2531 - Yongming Li, Kewen Li, Shaocheng Tong:
Adaptive Neural Network Finite-Time Control for Multi-Input and Multi-Output Nonlinear Systems With Positive Powers of Odd Rational Numbers. 2532-2543 - Songtao Liu, Di Huang, Yunhong Wang:
Pay Attention to Them: Deep Reinforcement Learning-Based Cascade Object Detection. 2544-2556 - Wei Tao, Zhisong Pan, Gaowei Wu, Qing Tao:
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization. 2557-2568 - Weihua Zhao, Fode Zhang, Heng Lian:
Debiasing and Distributed Estimation for High-Dimensional Quantile Regression. 2569-2577 - Jiliang Zhang, Chen Li:
Adversarial Examples: Opportunities and Challenges. 2578-2593 - Jing Chai, Ivor W. Tsang, Weijie Chen:
Large Margin Partial Label Machine. 2594-2608 - Peng Wu, Jing Liu, Fang Shen:
A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes. 2609-2622 - Mingjin Zhang, Nannan Wang, Yunsong Li, Xinbo Gao:
Neural Probabilistic Graphical Model for Face Sketch Synthesis. 2623-2637 - Zhe-Cheng Fan, Tak-Shing T. Chan, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Backpropagation With $N$ -D Vector-Valued Neurons Using Arbitrary Bilinear Products. 2638-2652 - Junying Chen, Zhan Liu:
Mask Dynamic Routing to Combined Model of Deep Capsule Network and U-Net. 2653-2664 - Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong:
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains. 2665-2671 - Shengfeng He, Chu Han, Guoqiang Han, Jing Qin:
Exploring Duality in Visual Question-Driven Top-Down Saliency. 2672-2679 - Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller:
Optimizing for Measure of Performance in Max-Margin Parsing. 2680-2684
Volume 31, Number 8, August 2020
- Jing-Hao Xue, Zhanyu Ma, Manuel Roveri, Nathalie Japkowicz:
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. 2688-2690 - Feng Bao, Yue Deng, Youyong Kong, Zhiquan Ren, Jin-Li Suo, Qionghai Dai:
Learning Deep Landmarks for Imbalanced Classification. 2691-2704 - Xiaoheng Jiang, Li Zhang, Pei Lv, Yibo Guo, Ruijie Zhu, Yafei Li, Yanwei Pang, Xi Li, Bing Zhou, Mingliang Xu:
Learning Multi-Level Density Maps for Crowd Counting. 2705-2715 - Yu Zhang, Xinbo Gao, Lihuo He, Wen Lu, Ran He:
Objective Video Quality Assessment Combining Transfer Learning With CNN. 2716-2730 - Cheng Wang, Mathias Niepert, Hui Li:
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. 2731-2740 - Yuanyuan Qiao, Yuewei Wu, Fan Duo, Wenhui Lin, Jie Yang:
Siamese Neural Networks for User Identity Linkage Through Web Browsing. 2741-2751 - David Díaz-Vico, José R. Dorronsoro:
Deep Least Squares Fisher Discriminant Analysis. 2752-2763 - Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang:
Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift. 2764-2778 - Yu Zheng, Jianping Fan, Ji Zhang, Xinbo Gao:
Discriminative Fast Hierarchical Learning for Multiclass Image Classification. 2779-2790 - Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua:
Fast Matrix Factorization With Nonuniform Weights on Missing Data. 2791-2804 - Xue Li, Bo Du, Yipeng Zhang, Chang Xu, Dacheng Tao:
Iterative Privileged Learning. 2805-2817 - Bartosz Krawczyk, Michal Koziarski, Michal Wozniak:
Radial-Based Oversampling for Multiclass Imbalanced Data Classification. 2818-2831 - Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Self-Paced Balance Learning for Clinical Skin Disease Recognition. 2832-2846 - Ting Shu, Bob Zhang, Yuan Yan Tang:
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification. 2847-2856 - Leandro A Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer:
Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics. 2857-2867 - Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczech:
On the Dynamics of Classification Measures for Imbalanced and Streaming Data. 2868-2878 - Shuai Liu, Hong Ji, Morgan C. Wang:
Nonpooling Convolutional Neural Network Forecasting for Seasonal Time Series With Trends. 2879-2888 - Yao Lu, Guangming Lu, Rui Lin, Jinxing Li, David Zhang:
SRGC-Nets: Sparse Repeated Group Convolutional Neural Networks. 2889-2902 - Fanghua Ye, Chuan Chen, Zhiyuan Wen, Zibin Zheng, Wuhui Chen, Yuren Zhou:
Homophily Preserving Community Detection. 2903-2915 - Yao Zhou, Gary G. Yen, Zhang Yi:
Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation. 2916-2929 - Yang Liu, Zidong Wang, Donghua Zhou:
Scalable Distributed Filtering for a Class of Discrete-Time Complex Networks Over Time-Varying Topology. 2930-2941 - Yong-Hua Liu, Chun-Yi Su, Hongyi Li, Renquan Lu:
Barrier Function-Based Adaptive Control for Uncertain Strict-Feedback Systems Within Predefined Neural Network Approximation Sets. 2942-2954 - Jiejie Chen, Boshan Chen, Zhigang Zeng:
Synchronization and Consensus in Networks of Linear Fractional-Order Multi-Agent Systems via Sampled-Data Control. 2955-2964 - Fanghui Liu, Xiaolin Huang, Lei Shi, Jie Yang, Johan A. K. Suykens:
A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels. 2965-2979 - Zhiguo Tan, Weibing Li, Lin Xiao, Yueming Hu:
New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion. 2980-2992 - Yueyong Shi, Jian Huang, Yuling Jiao, Qinglong Yang:
A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning. 2993-3006 - Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao:
Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification. 3007-3016 - Fei Chu, Tao Liang, C. L. Philip Chen, Xuesong Wang, Xiaoping Ma:
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling. 3017-3031 - Xiaoqiang Lu, Yaxiong Chen, Xuelong Li:
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval. 3032-3046 - Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao:
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition. 3047-3060 - Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu:
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. 3061-3072 - Guanyu Cai, Yuqin Wang, Lianghua He, MengChu Zhou:
Unsupervised Domain Adaptation With Adversarial Residual Transform Networks. 3073-3086 - Jingyi Zhu, Long Wang, James C. Spall:
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. 3087-3099 - Zhengda Qin, Badong Chen, Yuantao Gu, Nanning Zheng, José C. Príncipe:
Probability Density Rank-Based Quantization for Convex Universal Learning Machines. 3100-3113 - Tolga Ergen, Ali H. Mirza, Suleyman Serdar Kozat:
Energy-Efficient LSTM Networks for Online Learning. 3114-3126 - Tolga Ergen, Suleyman Serdar Kozat:
Unsupervised Anomaly Detection With LSTM Neural Networks. 3127-3141
Volume 31, Number 9, September 2020
- Huei-Fang Yang, Kevin Lin, Ting-Yen Chen, Chu-Song Chen:
Cross-Batch Reference Learning for Deep Retrieval. 3145-3158 - Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang:
Memory Augmented Deep Recurrent Neural Network for Video Question Answering. 3159-3167 - Ruoxia Li, Xingbao Gao, Jinde Cao:
Exponential State Estimation for Stochastically Disturbed Discrete-Time Memristive Neural Networks: Multiobjective Approach. 3168-3177 - Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao:
Harnessing Side Information for Classification Under Label Noise. 3178-3192 - Wentao Fan, Nizar Bouguila:
Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions. 3193-3203 - Min Yang, Yunong Zhang, Haifeng Hu, Binbin Qiu:
General 7-Instant DCZNN Model Solving Future Different-Level System of Nonlinear Inequality and Linear Equation. 3204-3214 - Wenzheng Hu, Junqi Jin, Tie-Yan Liu, Changshui Zhang:
Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity. 3215-3229 - Zhi Gao, Yuwei Wu, Mehrtash Harandi, Yunde Jia:
A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold. 3230-3244 - Yang Meng, Ronghua Shang, Fanhua Shang, Licheng Jiao, Shuyuan Yang, Rustam Stolkin:
Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation. 3245-3258 - Naresh Manwani, Mohit Chandra:
Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels. 3259-3268 - Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding:
Supervised Dimensionality Reduction Methods via Recursive Regression. 3269-3279 - Liying Zhu, Jianbin Qiu, Hamid Reza Karimi:
Region Stabilization of Switched Neural Networks With Multiple Modes and Multiple Equilibria: A Pole Assignment Method. 3280-3293 - Zekeriya Uykan:
On the Working Principle of the Hopfield Neural Networks and its Equivalence to the GADIA in Optimization. 3294-3304 - Llewyn Salt, David Howard, Giacomo Indiveri, Yulia Sandamirskaya:
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors. 3305-3318 - Yulin Shao, Soung Chang Liew, Taotao Wang:
AlphaSeq: Sequence Discovery With Deep Reinforcement Learning. 3319-3333 - Wangli He, Tinghui Luo, Yang Tang, Wenli Du, Yu-Chu Tian, Feng Qian:
Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy. 3334-3345 - Guanyu Lai, Gang Tao, Yun Zhang, Zhi Liu:
Adaptive Control of Noncanonical Neural-Network Nonlinear Systems With Unknown Input Dead-Zone Characteristics. 3346-3360 - Wenjing Li, Wei Bian, Xiaoping Xue:
Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints. 3361-3373 - Lei Zhang, Jingru Fu, Shanshan Wang, David Zhang, Zhaoyang Dong, C. L. Philip Chen:
Guide Subspace Learning for Unsupervised Domain Adaptation. 3374-3388 - Shuyan Zhou, Yongduan Song:
Neuroadaptive Control Design for Pure-Feedback Nonlinear Systems: A One-Step Design Approach. 3389-3399 - Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek:
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data. 3400-3413 - Zhijun Zhang, Tao Chen, Min Wang, Lunan Zheng:
An Exponential-Type Anti-Noise Varying-Gain Network for Solving Disturbed Time-Varying Inversion Systems. 3414-3427 - Feiping Nie, Danyang Wu, Rong Wang, Xuelong Li:
Self-Weighted Clustering With Adaptive Neighbors. 3428-3441 - Jun Yin, Shiliang Sun:
Multiview Uncorrelated Locality Preserving Projection. 3442-3455 - Joseph Townsend, Thomas Chaton, João M. Monteiro:
Extracting Relational Explanations From Deep Neural Networks: A Survey From a Neural-Symbolic Perspective. 3456-3470 - Kai Zhao, Jiawei Chen:
Adaptive Neural Quantized Control of MIMO Nonlinear Systems Under Actuation Faults and Time-Varying Output Constraints. 3471-3481 - Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu:
MVStream: Multiview Data Stream Clustering. 3482-3496 - Yongqiang Nai, Qingyu Yang, Zhiqiang Zhang:
Adaptive Neural Output Feedback Compensation Control for Intermittent Actuator Faults Using Command-Filtered Backstepping. 3497-3511 - Rong Yin, Yong Liu, Weiping Wang, Dan Meng:
Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory. 3512-3524 - Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang:
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem. 3525-3539 - Linlin Liu, Haijun Zhang, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Collocating Clothes With Generative Adversarial Networks Cosupervised by Categories and Attributes: A Multidiscriminator Framework. 3540-3554 - Yimeng Qi, Long Jin, Yaonan Wang, Lin Xiao, Jiliang Zhang:
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications. 3555-3569 - Yazhou Hu, Wenxue Wang, Hao Liu, Lianqing Liu:
Reinforcement Learning Tracking Control for Robotic Manipulator With Kernel-Based Dynamic Model. 3570-3578 - Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis:
Geometric Matrix Completion With Deep Conditional Random Fields. 3579-3593 - Sören Dittmer, Emily J. King, Peter Maass:
Singular Values for ReLU Layers. 3594-3605 - Xiubin Zhu, Witold Pedrycz, Zhiwu Li:
Development and Analysis of Neural Networks Realized in the Presence of Granular Data. 3606-3619 - Huicheng Zheng, Dajun Lin, Lina Lian, Jiayu Dong, Peipei Zhang:
Laplacian-Uniform Mixture-Driven Iterative Robust Coding With Applications to Face Recognition Against Dense Errors. 3620-3633 - MeiYu Liang, Junping Du, Cong-Xian Yang, Zhe Xue, Hai-Sheng Li, Feifei Kou, Yue Geng:
Cross-Media Semantic Correlation Learning Based on Deep Hash Network and Semantic Expansion for Social Network Cross-Media Search. 3634-3648 - Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard:
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning. 3649-3657 - Matteo Lodi, Andrey L. Shilnikov, Marco Storace:
Design Principles for Central Pattern Generators With Preset Rhythms. 3658-3669 - Ruomu Tan, James R. Ottewill, Nina F. Thornhill:
Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring. 3670-3681 - Min Shi, Yufei Tang, Xingquan Zhu:
MLNE: Multi-Label Network Embedding. 3682-3695 - Ning Zhou, Yu Kawano, Ming Cao:
Neural Network-Based Adaptive Control for Spacecraft Under Actuator Failures and Input Saturations. 3696-3710 - Catalina Cangea, Petar Velickovic, Pietro Liò:
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification. 3711-3720 - Lei Ren, Zihao Meng, Xiaokang Wang, Renquan Lu, Laurence T. Yang:
A Wide-Deep-Sequence Model-Based Quality Prediction Method in Industrial Process Analysis. 3721-3731 - Tambet Matiisen, Avital Oliver, Taco Cohen, John Schulman:
Teacher-Student Curriculum Learning. 3732-3740 - Fernando M. de Paula Neto, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva:
Implementing Any Nonlinear Quantum Neuron. 3741-3746 - Jiahui Li, Hongli Dong, Zidong Wang, Xianye Bu:
Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays. 3747-3753 - Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie:
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity. 3754-3759 - Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Time Series Forecasting. 3760-3765 - Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen:
Ensemble Pruning Based on Objection Maximization With a General Distributed Framework. 3766-3774
Volume 31, Number 10, October 2020
- Hong-Xia Rao, Fen Liu, Hui Peng, Yong Xu, Renquan Lu:
Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information. 3777-3787 - Bo Shen, Zidong Wang, Dong Wang, Qi Li:
State-Saturated Recursive Filter Design for Stochastic Time-Varying Nonlinear Complex Networks Under Deception Attacks. 3788-3800 - Pengzhen Ren, Yun Xiao, Xiaojun Chang, Mahesh Prakash, Feiping Nie, Xin Wang, Xiaojiang Chen:
Structured Optimal Graph-Based Clustering With Flexible Embedding. 3801-3813 - Ruoheng Wang, Chaoshun Li, Wenlong Fu, Geng Tang:
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction. 3814-3827 - Kailun Wu, Yiwen Guo, Changshui Zhang:
Compressing Deep Neural Networks With Sparse Matrix Factorization. 3828-3838 - O-Yeon Kwon, Min-Ho Lee, Cuntai Guan, Seong-Whan Lee:
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks. 3839-3852 - Chenwei Zhao, Feng Li, Kuangrong Hao, Lihong Ren, Tong Wang:
A Self-Learning Immune Co-Evolutionary Network for Multiple Escaping Targets Search With Random Observable Conditions. 3853-3865 - Rui Zhu, Ziyu Wang, Naoya Sogi, Kazuhiro Fukui, Jing-Hao Xue:
A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data. 3866-3876 - Nan Zhou, Badong Chen, Yuanhua Du, Tao Jiang, Jun Liu, Yangyang Xu:
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation. 3877-3891 - Naima Otberdout, Anis Kacem, Mohamed Daoudi, Lahoucine Ballihi, Stefano Berretti:
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories. 3892-3905 - Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen:
Multiclass Probabilistic Classification Vector Machine. 3906-3919 - Ander Arriandiaga, Eva Portillo, Josafath Israel Espinosa Ramos, Nikola K. Kasabov:
Pulsewidth Modulation-Based Algorithm for Spike Phase Encoding and Decoding of Time-Dependent Analog Data. 3920-3931 - Kai Shuang, Rui Li, Mengyu Gu, Jonathan Loo, Sen Su:
Major-Minor Long Short-Term Memory for Word-Level Language Model. 3932-3946 - Hang Yu, Jie Lu, Guangquan Zhang:
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. 3947-3961 - Xin Chen, Jian Weng, Weiqi Luo, Wei Lu, Huimin Wu, Jiaming Xu, Qi Tian:
Sample Balancing for Deep Learning-Based Visual Recognition. 3962-3976 - Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models. 3977-3988 - Bin Zhao, Xuelong Li, Xiaoqiang Lu:
Property-Constrained Dual Learning for Video Summarization. 3989-4000 - Yingjie Deng, Xianku Zhang, Nam Kyun Im, Guoqing Zhang, Qiang Zhang:
Model-Based Event-Triggered Tracking Control of Underactuated Surface Vessels With Minimum Learning Parameters. 4001-4014 - Weixing Liu, Yunhai Geng, Baolin Wu, Danwei Wang:
Neural-Network-Based Adaptive Event-triggered Control for Spacecraft Attitude Tracking. 4015-4024 - Jingyao Zhang, Deyuan Meng:
Convergence Analysis of Saturated Iterative Learning Control Systems With Locally Lipschitz Nonlinearities. 4025-4035 - Zheng-Chu Guo, Lei Shi, Shao-Bo Lin:
Realizing Data Features by Deep Nets. 4036-4048 - Dongbo Liu, Zhenan He, Dongdong Chen, Jiancheng Lv:
A Network Framework for Small-Sample Learning. 4049-4062 - Udhayakumar Kandasamy, Xiaodi Li, Rajan Rakkiyappan:
Quasi-Synchronization and Bifurcation Results on Fractional-Order Quaternion-Valued Neural Networks. 4063-4072 - Brandon Foggo, Nanpeng Yu, Jie Shi, Yuanqi Gao:
Information Losses in Neural Classifiers From Sampling. 4073-4083 - Ben Niu, Ding Wang, Ming Liu, Xinmin Song, Huanqing Wang, Peiyong Duan:
Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays. 4084-4093 - Deqing Huang, Chunrong Chen, Tengfei Huang, Duo Zhao, Qichao Tang:
An Active Repetitive Learning Control Method for Lateral Suspension Systems of High-Speed Trains. 4094-4103 - Xiaofan Li, Wenbing Zhang, Jian-An Fang, Huiyuan Li:
Event-Triggered Exponential Synchronization for Complex-Valued Memristive Neural Networks With Time-Varying Delays. 4104-4116 - Savvas Karatsiolis, Christos N. Schizas:
Conditional Generative Denoising Autoencoder. 4117-4129 - Yun Chen, Zidong Wang, Licheng Wang, Weiguo Sheng:
Mixed $H_2/H_\infty$ State Estimation for Discrete-Time Switched Complex Networks With Random Coupling Strengths Through Redundant Channels. 4130-4142 - Xinrui Cui, Dan Wang, Z. Jane Wang:
CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks. 4143-4156 - Shenquan Wang, Wenchengyu Ji, Yulian Jiang, Derong Liu:
Relaxed Stability Criteria for Neural Networks With Time-Varying Delay Using Extended Secondary Delay Partitioning and Equivalent Reciprocal Convex Combination Techniques. 4157-4169 - Lei Zhang, Wei Wei, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Yanning Zhang:
Accurate Tensor Completion via Adaptive Low-Rank Representation. 4170-4184 - Qing Li, Lina Xia, Ruizhuo Song, Jian Liu:
Leader-Follower Bipartite Output Synchronization on Signed Digraphs Under Adversarial Factors via Data-Based Reinforcement Learning. 4185-4195 - Jiali Ma, Shengyuan Xu, Qian Ma, Zhengqiang Zhang:
Event-Triggered Adaptive Neural Network Control for Nonstrict-Feedback Nonlinear Time-Delay Systems With Unknown Control Directions. 4196-4205 - Robert C. Ivans, Sumedha Gandharava Dahl, Kurtis D. Cantley:
A Model for $R(t)$ Elements and $R(t)$ -Based Spike-Timing-Dependent Plasticity With Basic Circuit Examples. 4206-4216 - Gongming Wang, Junfei Qiao, Jing Bi, Qing-Shan Jia, MengChu Zhou:
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. 4217-4228 - Yang Chen, Xiaoyan Sun, Yaochu Jin:
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation. 4229-4238 - Chunling Dong, Qin Zhang:
The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference. 4239-4253 - Hanguang Su, Huaguang Zhang, He Jiang, Yinlei Wen:
Decentralized Event-Triggered Adaptive Control of Discrete-Time Nonzero-Sum Games Over Wireless Sensor-Actuator Networks With Input Constraints. 4254-4266 - Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer:
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. 4267-4278 - Hongyu Gao, Hongli Dong, Zidong Wang, Fei Han:
An Event-Triggering Approach to Recursive Filtering for Complex Networks With State Saturations and Random Coupling Strengths. 4279-4289 - Guo-Sen Xie, Zheng Zhang, Li Liu, Fan Zhu, Xu-Yao Zhang, Ling Shao, Xuelong Li:
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification. 4290-4302 - Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning. 4303-4317 - Huawen Liu, Xuelong Li, Shichao Zhang, Qi Tian:
Adaptive Hashing With Sparse Matrix Factorization. 4318-4329 - Bo Zhao, Derong Liu, Chaomin Luo:
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints. 4330-4340 - Sung Jin Yoo:
Neural-Network-Based Adaptive Resilient Dynamic Surface Control Against Unknown Deception Attacks of Uncertain Nonlinear Time-Delay Cyberphysical Systems. 4341-4353 - Zhengtian Wu, Hamid Reza Karimi, Chuangyin Dang:
A Deterministic Annealing Neural Network Algorithm for the Minimum Concave Cost Transportation Problem. 4354-4366 - Francesco Farina, Stefano Melacci, Andrea Garulli, Antonio Giannitrapani:
Asynchronous Distributed Learning From Constraints. 4367-4373 - Wenjia Meng, Qian Zheng, Long Yang, Pengfei Li, Gang Pan:
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network. 4374-4380 - Qi Li, Zidong Wang, Nan Li, Weiguo Sheng:
A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures. 4381-4388 - Diego P. P. Mesquita, Luis A. Freitas, João P. P. Gomes, César L. C. Mattos:
LS-SVR as a Bayesian RBF Network. 4389-4393 - Yunwen Lei, Ting Hu, Guiying Li, Ke Tang:
Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions. 4394-4400
Volume 31, Number 11, November 2020
- Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. 4405-4423 - Dan Shi, Lei Zhu, Yikun Li, Jingjing Li, Xiushan Nie:
Robust Structured Graph Clustering. 4424-4436 - Haiyang Zhang, Zhipeng Qiu, Jinde Cao, Mahmoud A. Abdel-Aty, Lianglin Xiong:
Event-Triggered Synchronization for Neutral-Type Semi-Markovian Neural Networks With Partial Mode-Dependent Time-Varying Delays. 4437-4450 - Yongming Li, Tingting Yang, Shaocheng Tong:
Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems. 4451-4460 - Zhenhua Huang, Xin Xu, Honghao Zhu, MengChu Zhou:
An Efficient Group Recommendation Model With Multiattention-Based Neural Networks. 4461-4474 - Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini:
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. 4475-4486 - Wei Zhu, Xian Guo, Yongchun Fang, Xueyou Zhang:
A Path-Integral-Based Reinforcement Learning Algorithm for Path Following of an Autoassembly Mobile Robot. 4487-4499 - Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri:
diffGrad: An Optimization Method for Convolutional Neural Networks. 4500-4511 - Shuva Paul, Zhen Ni, Chaoxu Mu:
A Learning-Based Solution for an Adversarial Repeated Game in Cyber-Physical Power Systems. 4512-4523 - Rongpei Zhou, Yuqian Guo, Yuhu Wu, Weihua Gui:
Asymptotical Feedback Set Stabilization of Probabilistic Boolean Control Networks. 4524-4537 - Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. 4538-4552 - Jiatao Jiang, Chunyan Xu, Zhen Cui, Tong Zhang, Wenming Zheng, Jian Yang:
Walk-Steered Convolution for Graph Classification. 4553-4566 - Jize Xue, Yongqiang Zhao, Wenzhi Liao, Jonathan Cheung-Wai Chan, Seong G. Kong:
Enhanced Sparsity Prior Model for Low-Rank Tensor Completion. 4567-4581 - Hao Quan, Abbas Khosravi, Dazhi Yang, Dipti Srinivasan:
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids. 4582-4599 - Lixin Liao, Yao Zhao, Shikui Wei, Yunchao Wei, Jingdong Wang:
Parameter Distribution Balanced CNNs. 4600-4609 - Kamran Ghasedi Dizaji, Hongchang Gao, Yanhua Yang, Heng Huang, Cheng Deng:
Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model. 4610-4621 - Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. 4622-4636 - Xin Liu, Baotian Hu, Qingcai Chen, Xiangping Wu, Jinghan You:
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition. 4637-4648 - Xinyu Peng, Li Li, Fei-Yue Wang:
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling. 4649-4659 - Honggyu Jung, Seong-Whan Lee:
Few-Shot Learning With Geometric Constraints. 4660-4672 - Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao:
LogDet Metric-Based Domain Adaptation. 4673-4687 - Biao Zhang, Deyi Xiong, Jun Xie, Jinsong Su:
Neural Machine Translation With GRU-Gated Attention Model. 4688-4698 - Decheng Liu, Xinbo Gao, Nannan Wang, Jie Li, Chunlei Peng:
Coupled Attribute Learning for Heterogeneous Face Recognition. 4699-4712 - Xinxin Guo, Weisheng Yan, Rongxin Cui:
Reinforcement Learning-Based Nearly Optimal Control for Constrained-Input Partially Unknown Systems Using Differentiator. 4713-4725 - Ganesan Soundara Rajan, Gnaneswaran Nagamani:
State-Feedback Filtering for Delayed Discrete-Time Complex-Valued Neural Networks. 4726-4736 - Xiaofeng Yuan, Yongjie Gu, Yalin Wang, Chunhua Yang, Weihua Gui:
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. 4737-4746 - Yang Xu, Zebin Wu, Jocelyn Chanussot, Zhihui Wei:
Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation. 4747-4760 - Honovan P. Rocha, Marcelo Azevedo Costa, Antônio P. Braga:
Neural Networks Multiobjective Learning With Spherical Representation of Weights. 4761-4775 - Huiming Chen, Ho-Chun Wu, Shing-Chow Chan, Wong-Hing Lam:
A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization With Applications. 4776-4790 - Jinxing Li, Bob Zhang, Guangming Lu, Jane You, Yong Xu, Feng Wu, David Zhang:
Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching. 4791-4805 - Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde, Jie Yin, Qing Zhang, Mohan Karunanithi:
Sequence Classification Restricted Boltzmann Machines With Gated Units. 4806-4815 - Huaguang Zhang, Yuliang Cai, Yingchun Wang, Hanguang Su:
Adaptive Bipartite Event-Triggered Output Consensus of Heterogeneous Linear Multiagent Systems Under Fixed and Switching Topologies. 4816-4830 - Chao Deng, Wei-Wei Che, Peng Shi:
Cooperative Fault-Tolerant Output Regulation for Multiagent Systems by Distributed Learning Control Approach. 4831-4841 - Shuang Li, Chi Harold Liu, Limin Su, Binhui Xie, Zhengming Ding, C. L. Philip Chen, Dapeng Wu:
Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification. 4842-4856 - Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, Joey Tianyi Zhou:
Deep Clustering With Sample-Assignment Invariance Prior. 4857-4868 - Abhishek Halder, Kenneth F. Caluya, Bertrand Travacca, Scott J. Moura:
Hopfield Neural Network Flow: A Geometric Viewpoint. 4869-4880 - Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao:
Approximate Kernel Selection via Matrix Approximation. 4881-4891 - Yuhang Xu, Bin Jiang, Hao Yang:
Two-Level Game-Based Distributed Optimal Fault-Tolerant Control for Nonlinear Interconnected Systems. 4892-4906 - Hanguang Su, Huaguang Zhang, Xiaodong Liang, Chong Liu:
Decentralized Event-Triggered Online Adaptive Control of Unknown Large-Scale Systems Over Wireless Communication Networks. 4907-4919 - Bing Cui, Yuanqing Xia, Kun Liu, Ganghui Shen:
Finite-Time Tracking Control for a Class of Uncertain Strict-Feedback Nonlinear Systems With State Constraints: A Smooth Control Approach. 4920-4932 - Dongming Wu, Xingping Dong, Jianbing Shen, Steven C. H. Hoi:
Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient. 4933-4945 - Kexin Liu, Haibo Gu, Wei Wang, Jinhu Lü:
Semiglobal Consensus of a Class of Heterogeneous Multi-Agent Systems With Saturation. 4946-4955 - Peng Liu, Zhigang Zeng, Jun Wang:
Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay. 4956-4967 - Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin:
A New Concept of Multiple Neural Networks Structure Using Convex Combination. 4968-4979 - Hong-Xia Rao, Yuru Guo, Yong Xu, Chang Liu, Renquan Lu:
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach. 4980-4989 - Isaac J. Sledge, José C. Príncipe:
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations. 4990-4998 - Tao Dong, Tingwen Huang:
Neural Cryptography Based on Complex-Valued Neural Network. 4999-5004 - Runqi Chai, Antonios Tsourdos, Al Savvaris, Senchun Chai, Yuanqing Xia, C. L. Philip Chen:
Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach. 5005-5013 - Dino Ienco, Ruggero G. Pensa:
Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding. 5014-5020 - Yi Huang, Mengmeng Duan, Lipo Mo:
Multiagent Containment Control With Nonconvex States Constraints, Nonuniform Time Delays, and Switching Directed Networks. 5021-5028 - Jian Liu, Yanling Zhang, Yao Yu, Changyin Sun:
Fixed-Time Leader-Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control. 5029-5037
Volume 31, Number 12, December 2020
- Luming Zhang, Mingliang Xu, Jianwei Yin, Chao Zhang, Ling Shao:
Weakly Supervised Complets Ranking for Deep Image Quality Modeling. 5041-5054 - Ruichu Cai, Jiahao Li, Zhenjie Zhang, Xiaoyan Yang, Zhifeng Hao:
DACH: Domain Adaptation Without Domain Information. 5055-5067 - Jianjun Liu, Zebin Wu, Liang Xiao, Hong Yan:
Learning Multiple Parameters for Kernel Collaborative Representation Classification. 5068-5078 - Haoqian Wang, Yi Luo, Wangpeng An, Qingyun Sun, Jun Xu, Lei Zhang:
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks. 5079-5091 - Liruo Zhang, Sing Kiong Nguang, Deqiang Ouyang, Shen Yan:
Synchronization of Delayed Neural Networks via Integral-Based Event-Triggered Scheme. 5092-5102 - Giuseppe Vecchio, Simone Palazzo, Daniela Giordano, Francesco Rundo, Concetto Spampinato:
MASK-RL: Multiagent Video Object Segmentation Framework Through Reinforcement Learning. 5103-5115 - Jiazheng Zhang, Long Jin, Long Cheng:
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective. 5116-5126 - Yi Dong, Shengyuan Xu:
A Novel Connectivity-Preserving Control Design for Rendezvous Problem of Networked Uncertain Nonlinear Systems. 5127-5137 - Peng Wan, Dihua Sun, Min Zhao, Hang Zhao:
Monostability and Multistability for Almost-Periodic Solutions of Fractional-Order Neural Networks With Unsaturating Piecewise Linear Activation Functions. 5138-5152 - Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang:
Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images. 5153-5165 - Heng Liu, Yongping Pan, Jinde Cao, Hongxing Wang, Yan Zhou:
Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults. 5166-5177 - Zhe Wang, Chenjie Cao, Yujin Zhu:
Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems. 5178-5191 - Zheng Chai, Chunhui Zhao:
Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity. 5192-5203 - Sentao Chen, Le Han, Xiaolan Liu, Zongyao He, Xiaowei Yang:
Subspace Distribution Adaptation Frameworks for Domain Adaptation. 5204-5218 - Shuping Zhao, Bob Zhang:
Learning Salient and Discriminative Descriptor for Palmprint Feature Extraction and Identification. 5219-5230 - Jin-Liang Wang, Shui-Han Qiu, Weizhong Chen, Huai-Ning Wu, Tingwen Huang:
Recent Advances on Dynamical Behaviors of Coupled Neural Networks With and Without Reaction-Diffusion Terms. 5231-5244 - Qinglai Wei, Lingxiao Wang, Yu Liu, Marios M. Polycarpou:
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning. 5245-5256 - Mohammad Nadji-Tehrani, Ali Eslami:
A Brain-Inspired Framework for Evolutionary Artificial General Intelligence. 5257-5271 - Weibing Li, Philip Wai Yan Chiu, Zheng Li:
An Accelerated Finite-Time Convergent Neural Network for Visual Servoing of a Flexible Surgical Endoscope With Physical and RCM Constraints. 5272-5284 - Jin Xiao, Yanlin Jia, Xiaoyi Jiang, Shouyang Wang:
Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems. 5285-5299 - Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. 5300-5311 - Xianglong Liu, Qiang Fu, Deqing Wang, Xiao Bai, Xinyu Wu, Dacheng Tao:
Distributed Complementary Binary Quantization for Joint Hash Table Learning. 5312-5323 - Thi Nhat Anh Nguyen, Son Lam Phung, Abdesselam Bouzerdoum:
Hybrid Deep Learning-Gaussian Process Network for Pedestrian Lane Detection in Unstructured Scenes. 5324-5338 - Lin Xiao, Jianhua Dai, Rongbo Lu, Shuai Li, Jichun Li, Shoujin Wang:
Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. 5339-5348 - Fengxiang He, Tongliang Liu, Dacheng Tao:
Why ResNet Works? Residuals Generalize. 5349-5362 - Na Qin, Kaiwei Liang, Deqing Huang, Lei Ma, Andrew H. Kemp:
Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie. 5363-5376 - Filipe Rodrigues, Francisco C. Pereira:
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems. 5377-5389 - Rita Quetziquel Fuentes-Aguilar, Isaac Chairez:
Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach. 5390-5401 - Yipeng Liu, Jiani Liu, Ce Zhu:
Low-Rank Tensor Train Coefficient Array Estimation for Tensor-on-Tensor Regression. 5402-5411 - Xing Xu, Tan Wang, Yang Yang, Lin Zuo, Fumin Shen, Heng Tao Shen:
Cross-Modal Attention With Semantic Consistence for Image-Text Matching. 5412-5425 - Jun Lu, Jinliang Ding, Xuewu Dai, Tianyou Chai:
Ensemble Stochastic Configuration Networks for Estimating Prediction Intervals: A Simultaneous Robust Training Algorithm and Its Application. 5426-5440 - Yongliang Yang, Kyriakos G. Vamvoudakis, Hamidreza Modares, Yixin Yin, Donald C. Wunsch:
Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators. 5441-5455 - Wen-Juan Lin, Yong He, Chuan-Ke Zhang, Min Wu:
Stochastic Finite-Time H∞ State Estimation for Discrete-Time Semi-Markovian Jump Neural Networks With Time-Varying Delays. 5456-5467 - Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang:
Learning Deep Gradient Descent Optimization for Image Deconvolution. 5468-5482 - Xinsong Yang, Yang Liu, Jinde Cao, Leszek Rutkowski:
Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching. 5483-5496 - Guanyu Tian, Qun Zhou, Rahul Birari, Junjian Qi, Zhihua Qu:
A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems. 5497-5508 - Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan:
Deep Subspace Clustering. 5509-5521 - Mushuang Liu, Yan Wan, Frank L. Lewis, Victor G. Lopez:
Adaptive Optimal Control for Stochastic Multiplayer Differential Games Using On-Policy and Off-Policy Reinforcement Learning. 5522-5533 - Narendra Kumar Dhar, Nishchal K. Verma, Laxmidhar Behera:
An Online Event-Triggered Near-Optimal Controller for Nash Solution in Interconnected System. 5534-5548 - Dingwen Zhang, Junwei Han, Long Zhao, Tao Zhao:
From Discriminant to Complete: Reinforcement Searching-Agent Learning for Weakly Supervised Object Detection. 5549-5560 - San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John W. Paisley:
MBA: Mini-Batch AUC Optimization. 5561-5574 - Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong:
Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization. 5575-5587 - Feng Liu, Guangquan Zhang, Jie Lu:
Heterogeneous Domain Adaptation: An Unsupervised Approach. 5588-5602 - Giuseppe Carlo Calafiore, Stephane Gaubert, Corrado Possieri:
A Universal Approximation Result for Difference of Log-Sum-Exp Neural Networks. 5603-5612 - Kai Chen, Twan van Laarhoven, Perry Groot, Jinsong Chen, Elena Marchiori:
Generalized Convolution Spectral Mixture for Multitask Gaussian Processes. 5613-5623 - Bo Jiang, Chris Ding:
Revisiting L2, 1-Norm Robustness With Vector Outlier Regularization. 5624-5629 - Na Han, Jigang Wu, Xiaozhao Fang, Jie Wen, Shanhua Zhan, Shengli Xie, Xuelong Li:
Transferable Linear Discriminant Analysis. 5630-5638 - Jui-Yang Hsia, Chih-Jen Lin:
Parameter Selection for Linear Support Vector Regression. 5639-5644 - Saúl Alonso-Monsalve, Leigh H. Whitehead:
Image-Based Model Parameter Optimization Using Model-Assisted Generative Adversarial Networks. 5645-5650
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