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Dynamic Collaborative Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3035-3046
Authors:  Zhu, Guibo;  Zhang, Zhaoxiang;  Wang, Jinqiao;  Wu, Yi;  Lu, Hanqing
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Correlation filter (CF)  distracter suppression  online learning  visual tracking  
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2310-2323
Authors:  Du, Changde;  Du, Changying;  Huang, Lijie;  He, Huiguang
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Deep neural network (DNN)  image reconstruction  multiview learning  neural decoding  variational Bayesian inference  
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2410-2418
Authors:  Chen, Guang-Yong;  Gan, Min;  Ding, Feng;  Chen, C. L. Philip
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Data fitting  modified Gram-Schmidt (MGS)  parameter estimation  separable nonlinear least-squares problem  variable projection (VP)  
Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2153-2162
Authors:  Sui, Shuai;  Chen, C. L. Philip;  Tong, Shaocheng
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Common Lyapunov function  finite time  non-triangular structure  switched systems  
Stochastic Conjugate Gradient Algorithm With Variance Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
Authors:  Jin, Xiao-Bo;  Zhang, Xu-Yao;  Huang, Kaizhu;  Geng, Guang-Gang
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Computational efficiency  covariance reduction  empirical risk minimization (ERM)  linear convergence  stochastic conjugate gradient (CG)  
Semantically Modeling of Object and Context for Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1013-1024
Authors:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
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Context modeling  object categorization  object modeling  semantic representation  
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1076-1087
Authors:  Niu, Ben;  Wang, Ding;  Alotaibi, Naif D.;  Alsaadi, Fuad E.
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Adaptive tracking control  average dwell time (ADT)  neural networks (NNs)  nonstrict-feedback structure  stochastic nonlinear systems  switched nonlinear systems  
Universal Approximation Capability of Broad Learning System and Its Structural Variations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1191-1204
Authors:  Chen, C. L. Philip;  Liu, Zhulin;  Feng, Shuang
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Broad learning system (BLS)  deep learning  face recognition  functional link neural networks (FLNNs)  non-linear function approximation  time-variant big data modeling  universal approximation  
Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 3, 页码: 788-802
Authors:  Peng, Hanyang;  Liu, Cheng-Lin
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Accelerated proximal gradient (APG)  extended hinge loss (HL)  feature selection  sparsity regularization  
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
Authors:  Ma, Zhanyu;  Lai, Yuping;  Kleijn, W. Bastiaan;  Song, Yi-Zhe;  Wang, Liang;  Guo, Jun
Favorite  |  View/Download:8/0  |  Submit date:2019/07/12
Bayesian estimation  computer vision  Dirichlet process (DP) mixture  inverted Dirichlet distribution  variational learning