Tuesday, 13 March 2012

IEEE Transactions on Neural Networks and Learning Systems; Volume 23, Issue 3, March 2012


Neuromorphic Control of Stepping Pattern Generation: A Dynamic Model With Analog Circuit Implementation
Zhijun Yang; Katherine Cameron; William Lewinger; Barbara Webb; Alan Murray
Page(s): 373 - 384

Stochastic Competitive Learning in Complex Networks
Thiago Christiano Silva; Liang Zhao
Page(s): 385 - 398

Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications
Wei Bian; Xiaojun Chen
Page(s): 399 - 411

View-Invariant Action Recognition Based on Artificial Neural Networks
Alexandros Iosidis; Anastasios Tefas; Ioannis Pitas
Page(s): 412 - 424

Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients
Pantelis Bouboulis; Konstantinos Slavakis; Sergios Theodoridis
Page(s): 425 - 438

Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry
Jun Zhao; Quanli Liu; Wei Wang; Witold Pedrycz; Liqun Cong
Page(s): 439 - 450

Network-Based Stochastic Semisupervised Learning
Thiago Christiano Silva; Liang Zhao
Page(s): 451 - 466

Stability Analysis of Markovian Jump Stochastic BAM Neural Networks With Impulse Control and Mixed Time Delays
Quanxin Zhu; Jinde Cao
Page(s): 467 - 479

Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks
Shuiming Zhong; Xiaoqin Zeng; Shengli Wu; Lixin Han
Page(s): 480 - 491

Bilinear Probabilistic Principal Component Analysis
Jianhua Zhao; Philip L. H. Yu; James T. Kwok
Page(s): 492 - 503

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach
Lixin Duan; Dong Xu; Ivor Wai-Hung Tsang
Page(s): 504 - 518

Semi-Supervised Dimension Reduction Using Trace Ratio Criterion
Yi Huang; Dong Xu; Feiping Nie
Page(s): 519 - 526

Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification
Stefanos Zafeiriou; Georgios Tzimiropoulos; Maria Petrou; Tania Stathaki
Page(s): 526 - 534

Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures
Antonio Pealver; Francisco Escolano
Page(s): 534 - 540

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