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ORCIDNeurocomputing, Volume 139
Volume 139, September 2014
- Editorial Board. I
- Xiaofei He, Changyin Sun:
Special issue on advances in intelligence science and intelligent data engineering. 1-2 - Lei Shi, Zhiyong Liu, Shikui Tu, Lei Xu:
Learning local factor analysis versus mixture of factor analyzers with automatic model selection. 3-14 - Xinlei Chen, Cheng Li, Haifeng Liu, Deng Cai:
Spatially correlated nonnegative matrix factorization. 15-21 - Songsong Wu
, Xiao-Yuan Jing, Zhisen Wei, Jian Yang, Jingyu Yang:
Learning image manifold via local tensor subspace alignment. 22-33 - Mingxia Liu, Daoqiang Zhang, Songcan Chen:
Attribute relation learning for zero-shot classification. 34-46 - Kai Fan, Hongyi Zhang, Songbai Yan, Liwei Wang, Wensheng Zhang, Jufu Feng:
Learning a generative classifier from label proportions. 47-55 - Min Tan, Gang Pan, Yueming Wang, Yuting Zhang, Zhaohui Wu:
L1-norm latent SVM for compact features in object detection. 56-64 - Souleymane Balla-Arabé, Xinbo Gao:
Geometric active curve for selective entropy optimization. 65-76 - Artem M. Yatchenko, Andrey S. Krylov, Valeriy A. Sandrikov, Tatyana Yu. Kulagina:
Regularizing method for phase antialiasing in color doppler flow mapping. 77-83 - Cheng-Yuan Liou, Wei-Chen Cheng, Jiun-Wei Liou, Daw-Ran Liou:
Autoencoder for words. 84-96
- Melih Kandemir, Akos Vetek, Mehmet Gönen, Arto Klami, Samuel Kaski:
Multi-task and multi-view learning of user state. 97-106 - Jing Wang, Fengqi Yao, Hao Shen:
Dissipativity-based state estimation for Markov jump discrete-time neural networks with unreliable communication links. 107-113 - Marzieh Mostafavizadeh Ardestani, Zhenxian Chen, Ling Wang, Qin Lian, Yaxiong Liu, Jiankang He, Di-Chen Li, Zhongmin Jin:
Feed forward artificial neural network to predict contact force at medial knee joint: Application to gait modification. 114-129 - Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang:
Semi-supervised classification with pairwise constraints. 130-137 - Fathi Fourati:
Multiple neural control of a greenhouse. 138-144 - Junjian Huang, Chuandong Li, Tingwen Huang, Xing He:
Finite-time lag synchronization of delayed neural networks. 145-149 - Lingling Tong, Feng Dai, Dongming Zhang, Dong Wang, Yongdong Zhang:
Encoder combined video moving object detection. 150-162 - Xinghua Liu, Hongsheng Xi:
Synchronization of neutral complex dynamical networks with Markovian switching based on sampled-data controller. 163-179 - Pu Huang, Cai-Kou Chen, Zhenmin Tang, Zhangjing Yang:
Discriminant similarity and variance preserving projection for feature extraction. 180-188 - Yan-Feng Lu, Huazhen Zhang, Tae-Koo Kang, In-Hwan Choi, Myo-Taeg Lim:
Extended biologically inspired model for object recognition based on oriented Gaussian-Hermite moment. 189-201 - Jianwen Tao, Wenjun Hu, Shitong Wang:
Sparsity regularization label propagation for domain adaptation learning. 202-219 - Weizhi Nie, Anan Liu, Yuting Su, Huan-Bo Luan, Zhaoxuan Yang, Liujuan Cao, Rongrong Ji:
Single/cross-camera multiple-person tracking by graph matching. 220-232 - Jiaojie Li, Wei Zhang, Housheng Su, Yupu Yang, Hongtao Zhou:
Coordinated obstacle avoidance with reduced interaction. 233-245 - Rocco Langone, Oscar Mauricio Agudelo, Bart De Moor, Johan A. K. Suykens:
Incremental kernel spectral clustering for online learning of non-stationary data. 246-260 - Hongjuan Zhang, Guinan Wang, Pingmei Cai, Zikai Wu, Shuxue Ding:
A fast blind source separation algorithm based on the temporal structure of signals. 261-271 - Si Chen, Shaozi Li, Songzhi Su, Qi Tian, Rongrong Ji:
Online MIL tracking with instance-level semi-supervised learning. 272-288 - Huaxiang Zhang, Linlin Cao:
A spectral clustering based ensemble pruning approach. 289-297 - László Szilágyi, Sándor M. Szilágyi:
Generalization rules for the suppressed fuzzy c-means clustering algorithm. 298-309 - Xiaoyan Li, Hongjie He, Zhongke Yin, Fan Chen, Jun Cheng:
Single image super-resolution via subspace projection and neighbor embedding. 310-320 - Dan Zhang, Wenjian Cai, Qing-Guo Wang:
Mixed H∞ and passivity based state estimation for fuzzy neural networks with Markovian-type estimator gain change. 321-327 - Jungang Xu, Hui Li, Shilong Zhou:
Improving mixing rate with tempered transition for learning restricted Boltzmann machines. 328-335 - Yanyan Yang, Degang Chen, Ze Dong:
Novel algorithms of attribute reduction with variable precision rough set model. 336-344 - Nannan Gu, Di Wang, Mingyu Fan, Deyu Meng:
A kernel-based sparsity preserving method for semi-supervised classification. 345-356 - Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna-Enciso:
A Multilevel Thresholding algorithm using electromagnetism optimization. 357-381 - Tomer Lancewicki, Mayer E. Aladjem:
Locally multidimensional scaling by creating neighborhoods in diffusion maps. 382-396 - Khoat Than, Tu Bao Ho, Duy Khuong Nguyen:
An effective framework for supervised dimension reduction. 397-407 - Heeyoul Choi:
Localization and regularization of normalized transfer entropy. 408-414 - Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang, Changyin Sun:
Spatial modeling via feature co-pooling and SG grafting. 415-422 - Yu Wang, Sheng Tang, Yong-Dong Zhang, Jin-Tao Li, Dong Wang:
Representative selection based on sparse modeling. 423-431
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