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Neurocomputing, Volume 131
Volume 131, May 2014
- Barbara Hammer
, Thomas Villmann:
Special issue on new challenges in neural computation 2012. 1 - Matthias Rolf, Jochen J. Steil:
Explorative learning of inverse models: A theoretical perspective. 2-14 - Andreas Backhaus, Udo Seiffert
:
Classification in high-dimensional spectral data: Accuracy vs. interpretability vs. model size. 15-22 - Thomas Villmann, Marika Kaden, David Nebel, Martin Riedel:
Lateral enhancement in adaptive metric learning for functional data. 23-31 - Emil Eirola
, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki
:
Mixture of Gaussians for distance estimation with missing data. 32-42 - Barbara Hammer
, Daniela Hofmann, Frank-Michael Schleif
, Xibin Zhu:
Learning vector quantization for (dis-)similarities. 43-51
- Ning Li, Jinde Cao:
Periodically intermittent control on robust exponential synchronization for switched interval coupled networks. 52-58 - Nasser Mohamed Ramli, Mohamed Azlan Hussain
, Badrul Mohamed Jan, Bawadi Abdullah
:
Composition Prediction of a Debutanizer Column using Equation Based Artificial Neural Network Model. 59-76 - Lixia Yang, Shuyuan Yang, Rui Zhang, Honghong Jin:
Sparse least square support vector machine via coupled compressive pruning. 77-86 - Dong Zhao
, Yan Yang, Zhihang Ji
, Xiaopeng Hu:
Rapid multimodality registration based on MM-SURF. 87-97 - Xinpeng Du
, Lizhi Cheng, Dai-Qiang Chen:
A simulated annealing algorithm for sparse recovery by l0 minimization. 98-104 - Lili Chen, Ying Zhou, Xian Zhang:
Guaranteed cost control for uncertain genetic regulatory networks with interval time-varying delays. 105-112 - Fan Yang, Ying-Ying Xu, Shitong Wang, Hong-Bin Shen:
Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features. 113-123 - Yu Wang, Sheng Tang, Yan-Tao Zheng, Yong-Dong Zhang, Jin-Tao Li:
Semi-supervised learning via sparse model. 124-131 - Humberto Sossa
, Elizabeth Guevara
:
Efficient training for dendrite morphological neural networks. 132-142 - Ahmad Mozaffari, Nasser L. Azad:
Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification. 143-156 - Quanxin Zhu, Jinde Cao:
Mean-square exponential input-to-state stability of stochastic delayed neural networks. 157-163 - Zunshui Cheng, Jinde Cao:
Hybrid control of Hopf bifurcation in complex networks with delays. 164-170 - A. Arunkumar, Rathinasamy Sakthivel
, K. Mathiyalagan
, Selvaraj Marshal Anthoni
:
Robust state estimation for discrete-time BAM neural networks with time-varying delay. 171-178 - Jun Zhang, Qunyu Xu, Xianbin Cao, Pingkun Yan
, Xuelong Li
:
Hierarchical incorporation of shape and shape dynamics for flying bird detection. 179-190 - Yong Xu, Xuelong Li
, Jian Yang, David Zhang
:
Integrate the original face image and its mirror image for face recognition. 191-199 - Jeong-min Yu, Moongu Jeon, Witold Pedrycz:
Weighted feature trajectories and concatenated bag-of-features for action recognition. 200-207 - Qin-wei Fan
, Jacek M. Zurada, Wei Wu:
Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty. 208-216 - Feiyang Cheng, Hong Zhang, Ding Yuan, Mingui Sun:
Stereo matching by using the global edge constraint. 217-226 - Qi Wang, Jianwu Fang, Yuan Yuan:
Multi-cue based tracking. 227-236 - Changcheng Zhang, Risheng Liu, Tianshuang Qiu, Zhixun Su
:
Robust visual tracking via incremental low-rank features learning. 237-247 - Xin Deng, Jian-Xin Xu:
A 3D undulatory locomotion model inspired by C. elegans through DNN approach. 248-264 - R. Rakkiyappan, A. Chandrasekar, Shanmugam Lakshmanan
, Ju H. Park
:
Exponential stability of Markovian jumping stochastic Cohen-Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses. 265-277 - Wenxue Li, Xiaohui Qi, Meng Pan, Ke Wang:
Razumikhin-type theorems on exponential stability of stochastic functional differential equations on networks. 278-285 - Gerasimos G. Rigatos:
Estimation of wave-type dynamics in neurons' membrane with the use of the Derivative-free nonlinear Kalman Filter. 286-299 - Pablo E. Román, Juan D. Velásquez
:
A neurology-inspired model of web usage. 300-311 - Shusen Zhou, Qingcai Chen, Xiaolong Wang:
Fuzzy deep belief networks for semi-supervised sentiment classification. 312-322 - Gai Sun, Yu Zhang
:
Exponential stability of impulsive discrete-time stochastic BAM neural networks with time-varying delay. 323-330 - Mehmet Koç
, Atalay Barkana:
Application of Linear Regression Classification to low-dimensional datasets. 331-335 - Qingfa Li
, Yaqiu Liu, Liangkuan Zhu:
Neural network for nonsmooth pseudoconvex optimization with general constraints. 336-347 - Qi Wang, Yuan Yuan:
High quality image resizing. 348-356 - Qi Wang, Yuan Yuan:
Learning to resize image. 357-367 - Zeyin Zhang, Ting Wang, Xinggao Liu:
Melt index prediction by aggregated RBF neural networks trained with chaotic theory. 368-376 - Lu Leng, Andrew Beng Jin Teoh
, Ming Li, Muhammad Khurram Khan
:
Analysis of correlation of 2DPalmHash Code and orientation range suitable for transposition. 377-387 - Jun Li
, Jian Yang, Xiaotong Yuan, Zhaohua Hu:
Continuous attractors of higher-order recurrent neural networks with infinite neurons. 388-396 - A. A. Zaidan, N. N. Ahmad, H. Abdul Karim, Moussa Larbani, B. B. Zaidan
, Aduwati Sali
:
On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: An automated anti-pornography system. 397-418 - Subhabrata Choudhury, Subhajyoti Ghosh, Arnab Bhattacharya
, Kiran Jude Fernandes, Manoj Kumar Tiwari
:
A real time clustering and SVM based price-volatility prediction for optimal trading strategy. 419-426 - Seung-kyung Lee, Pilsung Kang, Sungzoon Cho:
Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing. 427-439 - Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon:
Efficient eigen-updating for spectral graph clustering. 440-452 - Dong-Juan Li:
Neural network control for a class of continuous stirred tank reactor process with dead-zone input. 453-459
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