ISNN 2005: Chongqing, China

Theoretical Analysis

• Shun-ichi Amari:
  Population Coding, Bayesian Inference and Information Geometry. 1-4
  
• Lei Xu:
  One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization. 5-20
  
• Walter J. Freeman:
  Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots. 21-33
  
• Shoujue Wang, Yangyang Liu:
  Differences and Commonalities Between Connectionism and Symbolicism. 34-38
  
• Feilong Cao, Zongben Xu, Youmei Li:
  Pointwise Approximation for Neural Networks. 39-44
  
• Lipo Wang, Bing Liu, Chunru Wan:
  On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters. 45-50
  
• Tan Shan, Xiuli Ma, Xiangrong Zhang, Licheng Jiao:
  A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory. 51-56
  
• Tan Shan, Xiangrong Zhang, Shuang Wang, Licheng Jiao:
  Image Representation in Visual Cortex and High Nonlinear Approximation. 57-62
  
• Youmei Li, Zongben Xu, Feilong Cao:
  Generalization and Property Analysis of GENET. 63-68
  
• Yumin Zhang, Lei Guo, Lingyao Wu, Chun-Bo Feng:
  On Stochastic Neutral Neural Networks. 69-74
  
• Chunshu Zhang:
  Eigenanalysis of CMAC Neural Network. 75-80
  
• Xizhao Wang, Chunguo Li:
  A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction. 81-86
  
• Xun Liang:
  Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture. 87-94
  
• Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem Kumar Kalra:
  Nonlinear Dynamical Analysis on Coupled Modified Fitzhugh-Nagumo Neuron Model. 95-101
  
• Haijun Jiang, Jinde Cao, Zhidong Teng:
  Stability of Nonautonomous Recurrent Neural Networks with Time-Varying Delays. 102-107
  
• Minghui Jiang, Yi Shen, Meiqin Liu:
  Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay. 108-113
  
• Yi Shen, Minghui Jiang, Xiaoxin Liao:
  A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay. 114-119
  
• Jun Zhang, Xiaofeng Liao, Chuandong Li, Anwen Lu:
  A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays. 120-125
  
• Deyin Wu, Qingyu Xiong, Chuandong Li, Zhong Zhang, Haoyang Tang:
  Improved Results for Exponential Stability of Neural Networks with Time-Varying Delays. 126-131
  
• Qiankun Song, Zhenjiang Zhao, Xuedong Chen:
  Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms. 132-141
  
• Huaguang Zhang, Zhanshan Wang, Derong Liu:
  Exponential Stability Analysis of Neural Networks with Multiple Time Delays. 142-148
  
• Wei Zhang, Jianqiao Yu:
  Exponential Stability of Cohen-Grossberg Neural Networks with Delays. 149-155
  
• Yi Shen, Minghui Jiang, Xiaoxin Liao:
  Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays. 156-161
  
• Xiaolin Li, Jinde Cao:
  Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays. 162-167
  
• Tingwen Huang, Linhua Zhang:
  Exponential Stability of Fuzzy Cellular Neural Networks with Unbounded Delay. 168-173
  
• Zhihong Tang, Yiping Luo, Feiqi Deng:
  Global Exponential Stability of Reaction-Diffusion Hopfield Neural Networks with Distributed Delays. 174-180
  
• Bingji Xu, Qun Wang, Yi Shen, Xiaoxin Liao:
  Global Exponential Stability of Delayed Impulsive Hopfield Type Neural Networks. 181-186
  
• Zhichun Yang, Jinan Pei, Daoyi Xu, Yumei Huang, Li Xiang:
  Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects. 187-192
  
• Qiang Zhang, Wenbing Liu, Xiaopeng Wei:
  Global Exponential Stability of Discrete Time Hopfield Neural Networks with Delays. 193-198
  
• Hanlin He, Zhongsheng Wang, Xiaoxin Liao:
  Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays. 199-202
  
• Li Xie, Tianming Liu, Jilin Liu, WeiKang Gu, Stephen T. C. Wong:
  Robust Stability for Delayed Neural Networks with Nonlinear Perturbation. 203-208
  
• Huaguang Zhang, Ce Ji, Derong Liu:
  Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays. 209-214
  
• Wenlian Lu, Tianping Chen:
  Robust Stability of Interval Delayed Neural Networks. 215-221
  
• Yinping Zhang, Jitao Sun:
  Impulsive Robust Control of Interval Hopfield Neural Networks. 222-228
  
• Tao Xiang, Xiaofeng Liao, Jian Huang:
  Global Attractivity of Cohen-Grossberg Model with Delays. 229-234
  
• Yi Shen, Xiaojun Zong, Minghui Jiang:
  High-Order Hopfield Neural Networks. 235-240
  
• Jinan Pei, Daoyi Xu, Zhichun Yang, Wei Zhu:
  Stability Analysis of Second Order Hopfield Neural Networks with Time Delays. 241-246
  
• Hongtao Lu, Zhizhou Zhang, Lin He:
  Convergence Analysis of Genetic Regulatory Networks Based on Nonlinear Measures. 247-252
  
• Runnian Ma, Shengrui Zhang, Sheping Lei:
  Stability Conditions for Discrete Neural Networks in Partial Simultaneous Updating Mode. 253-258
  
• Runnian Ma, Sheping Lei, Shengrui Zhang:
  Dynamic Behavior Analysis of Discrete Neural Networks with Delay. 259-264
  
• Xiaofan Yang, David J. Evans, Yuan Yan Tang:
  Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks. 265-270
  
• Changyin Sun, Liangzhen Xia, Chun-Bo Feng:
  Globally Attractive Periodic Solutions of Continuous-Time Neural Networks and Their Discrete-Time Counterparts. 271-275
  
• Chaojin Fu, Hanlin He, Xiaoxin Liao:
  Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks. 276-281
  
• Zhigang Zeng, Boshan Chen, Zengfu Wang:
  Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays. 282-287
  
• Jianlong Qiu, Jinde Cao:
  An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays. 288-293
  
• Boshan Chen:
  Periodic Oscillation and Exponential Stability of a Class of Competitive Neural Networks. 294-301
  
• Ying Wu, Jianxue Xu, Wuyin Jin:
  Synchronous Behaviors of Two Coupled Neurons. 302-307
  
• Jin Zhou, Tianping Chen, Xiang Lan:
  Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification. 308-313
  
• Yan Li, Xiaoli Li, Gaoxiang Ouyang, Xinping Guan:
  Strength and Direction of Phase Synchronization of Neural Networks. 314-319
  
• Shaorong Li, Shaowen Li, Xipeng Sun, Jie Li:
  Hopf Bifurcation in a Single Inertial Neuron Model: A Frequency Domain Approach. 320-326
  
• Shaowen Li, Shaorong Li:
  Hopf Bifurcation in a Single Inertial Neuron Model with a Discrete Delay. 327-333
  
• Xu Xu, Yanchun Liang:
  Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters. 334-339
  
• Shangbo Zhou, Hua Li, Zhongfu Wu:
  Stability and Chaos of a Neural Network with Uncertain Time Delays. 340-345
  
• Fenghua Tu, Xiaofeng Liao, Chuandong Li:
  Chaotic Synchronization of Delayed Neural Networks. 346-350
  
• Xiaohong Zhang, Shangbo Zhou:
  Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays. 351-356
  
• Qingdu Li, Xiao-Song Yang:
  Complex Dynamics in a Simple Hopfield-Type Neural Network. 357-362
  
• Lidan Wang, Shukai Duan, Guangyuan Liu:
  Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model. 363-368
  

Model Design

• Wentao Huang, Licheng Jiao, Maoguo Gong, Chuang Guo:
  Modeling Cortex Network: A Spatio-temporal Population Approach. 369-374
  
• Xusheng Sun, Shuning Wang:
  A Special Kind of Neural Networks: Continuous Piecewise Linear Functions. 375-379
  
• Yingtung Hsiao, Chenglong Chuang, Joeair Jiang, Chiang Wang, Chengchih Chien:
  A Novel Dynamic Structural Neural Network with Neuron-Regeneration and Neuron-Degeneration Mechanisms. 380-384
  
• Shuyuan Yang, Min Wang, Licheng Jiao:
  A New Adaptive Ridgelet Neural Network. 385-390
  
• Bo Liu, Ling Wang, Yihui Jin, Dexian Huang:
  Designing Neural Networks Using Hybrid Particle Swarm Optimization. 391-397
  
• Gengsheng Zheng, Sidney Nascimento Givigi, Weiyu Zheng:
  A New Strategy for Designing Bidirectional Associative Memories. 398-403
  
• Sung-Kwun Oh, Byoung-Jun Park, Hyun-Ki Kim:
  Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons. 404-409
  
• Ho-Sung Park, Daehee Park, Sung-Kwun Oh:
  Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation. 410-415
  
• Sung-Kwun Oh, Keon-Jun Park, Hyung-Soo Hwang:
  Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation. 416-421
  
• Byoung-Jun Park, Sung-Kwun Oh:
  Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation. 422-427
  
• Sung-Kwun Oh, Seok-Beom Roh, Yong-Kab Kim:
  Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation. 428-433
  
• Meng Joo Er, Rishikesh Parthasarathi:
  A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems. 434-439
  
• Lunwen Wang, Ying Tan, Ling Zhang:
  Constructive Fuzzy Neural Networks and Its Application. 440-445
  
• Jianye Zhao, Hongling Meng, Daoheng Yu:
  A Novel CNN Template Design Method Based on GIM. 446-454
  
• Yong Chen, Guoyin Wang, Fan Jin, Tianyun Yan:
  A Novel Generalized Congruence Neural Networks. 455-460
  
• Cristofer Englund, Antanas Verikas:
  A SOM Based Model Combination Strategy. 461-466
  
• Jing Li, Bao-Liang Lu, Michinori Ichikawa:
  Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function. 467-472
  
• Shisheng Zhong, Gang Ding, Daizhong Su:
  Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions. 473-478
  
• Zihong Liu, Zhihua Wang, Guolin Li, Zhiping Yu:
  A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories. 479-484
  
• Ming-Jung Seow, Vijayan K. Asari:
  Associative Memory Using Nonlinear Line Attractor Network for Multi-valued Pattern Association. 485-490
  
• Shukai Duan, Lidan Wang:
  Associative Chaotic Neural Network via Exponential Decay Spatio-temporal Effect. 491-496
  
• Tian-yi Ma, Ling Wang, Yingtao Jiang, Xiao-Zong Yang:
  On a Chaotic Neural Network with Decaying Chaotic Noise. 497-502
  
• Manghui Wang:
  Extension Neural Network-Type 3. 503-508
  
• Junquan Li, Yixin Yin:
  Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters. 509-514
  
• Jian Tang, Zengqi Sun, Jihong Zhu:
  Using Ensemble Information in Swarming Artificial Neural Networks. 515-519
  
• Zheng Qin, Yu Liu, Xingchen Heng, Xianhui Wang:
  Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization. 520-525
  
• Haixia Chen, Senmiao Yuan, Kai Jiang:
  Wrapper Approach for Learning Neural Network Ensemble by Feature Selection. 526-531
  
• Yue Liu, Yuan Li, Guo-Zheng Li, Bofeng Zhang, Gengfeng Wu:
  Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction. 532-537
  

Learning Methods

• Bin Zou, Luoqing Li, Jie Xu:
  The Bounds on the Rate of Uniform Convergence for Learning Machine. 538-545
  
• Hongyu Li, Li Teng, Wenbin Chen, I-Fan Shen:
  Supervised Learning on Local Tangent Space. 546-551
  
• Yali Zhao, Guangcheng Xi, Jianqiang Yi:
  Study Markov Neural Network by Stochastic Graph. 552-557
  
• Nakjin Choi, Jun-Seok Lim, Koeng-Mo Sung:
  An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks. 558-565
  
• Lingyun Hu, Zengqi Sun:
  A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function. 566-571
  
• Fei Han, Deshuang Huang, Yiu-ming Cheung, Guang-Bin Huang:
  A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. 572-577
  
• Jun-Seok Lim, Nakjin Choi, Koeng-Mo Sung:
  Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training. 578-584
  
• Jiancheng Lv, Zhang Yi:
  An Improved Backpropagation Algorithm Using Absolute Error Function. 585-590
  
• Zhiyong Zhang, Jingang Liu, Zhongzhi Shi:
  An Improved Relative Criterion Using BP Algorithm. 591-596
  
• Younggui Yoon, Jaewook Lee:
  Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training. 597-602
  
• Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am Sok Oh:
  Enhanced Fuzzy Single Layer Perceptron. 603-608
  
• Jie Yang, Wei Wu, Zhiqiong Shao:
  A New Training Algorithm for a Fuzzy Perceptron and Its Convergence. 609-614
  
• Junping Wang, Quanshi Chen:
  Stochastic Fuzzy Neural Network and Its Robust Parameter Learning Algorithm. 615-620
  
• Dongli Wang, Yang Gao, Pei Yang:
  Applying Neural Network to Reinforcement Learning in Continuous Spaces. 621-626
  
• SeungGwan Lee:
  Multiagent Reinforcement Learning Algorithm Using Temporal Difference Error. 627-633
  
• Jian Fan, Gengfeng Wu:
  A Foremost-Policy Reinforcement Learning Based ART2 Neural Network and Its Learning Algorithm. 634-639
  
• Jianing Li, Jianqiang Yi, Dongbin Zhao, Guangcheng Xi:
  A Reinforcement Learning Based Radial-Bassis Function Network Control System. 640-645
  
• Yang Yang, Bao-Liang Lu:
  Structure Pruning Strategies for Min-Max Modular Network. 646-651
  
• Pan Wang, Zhun Fan, Youfeng Li, Shan Feng:
  Sequential Bayesian Learning for Modular Neural Networks. 652-659
  
• Dongsun Kim, Hyunsik Kim, Duckjin Chung:
  A Modified Genetic Algorithm for Fast Training Neural Networks. 660-665
  
• Xiuli Ma, Licheng Jiao:
  Immunity Clonal Synergetic Learning of Unbalanced Attention Parameters in Synergetic Network. 666-671
  
• Yi He, Yuhui Qiu, Guangyuan Liu, Kaiyou Lei:
  Optimizing Weights of Neural Network Using an Adaptive Tabu Search Approach. 672-676
  
• Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng:
  Semi-supervised Learning for Image Retrieval Using Support Vector Machines. 677-681
  
• Lipo Wang, Xiuju Fu:
  A Simple Rule Extraction Method Using a Compact RBF Neural Network. 682-687
  
• Li Xiao, Guangyuan Liu:
  Automatic Fuzzy Rule Extraction Based on Fuzzy Neural Network. 688-693
  

Optimization Methods

• Changyin Sun, Chun-Bo Feng:
  Neural Networks for Nonconvex Nonlinear Programming Problems: A Switching Control Approach. 694-699
  
• Weitao Sun, Jiwu Shu, Weimin Zheng:
  Deterministic Global Optimization with a Neighbourhood Determination Algorithm Based on Neural Networks. 700-705
  
• Yongqing Yang, Jinde Cao, Daqi Zhu:
  A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints. 706-711
  
• Zhiqing Meng, Chuangyin Dang:
  A Hopfiled Neural Network for Nonlinear Constrained Optimization Problems Based on Penalty Function. 712-717
  
• Xuewen Mu, Sanyang Liu, Yaling Zhang:
  A Neural Network Algorithm for Second-Order Conic Programming. 718-724
  
• Hong-Zhong Huang, Zhigang Tian:
  Application of Neural Network to Interactive Physical Programming. 725-730
  
• Paulo Henrique Siqueira, Sérgio Scheer, Maria Teresinha Arns Steiner:
  Application of the "Winner Takes All" Principle in Wang's Recurrent Neural Network for the Assignment Problem. 731-738
  
• Hong Qu, Zhang Yi, XiaoLin Xiang:
  Theoretical Analysis and Parameter Setting of Hopfield Neural Networks. 739-744
  
• Xiuhong Wang, Qingli Qiao, Zhengqu Wang:
  Solving Optimization Problems Based on Chaotic Neural Network with Hysteretic Activation Function. 745-749
  
• Shenshen Gu:
  An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem. 750-755
  
• Huali Sun, Jianying Xie, Yaofeng Xue:
  A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem. 756-761
  
• Xinli Xu, Qiu Guan, Wanliang Wang, Shengyong Chen:
  Transient Chaotic Discrete Neural Network for Flexible Job-Shop Scheduling. 762-769
  
• Fuqing Zhao, Yi Hong, Dongmei Yu, Xuhui Chen, Yahong Yang:
  Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem. 770-775
  
• Xin Feng, Ho-fung Leung, Lixin Tang:
  An Effective Algorithm Based on GENET Neural Network Model for Job Shop Scheduling with Release Dates and Due Dates. 776-781
  
• Yuan Xie, Jianying Xie, Jie Li:
  Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network. 782-787
  
• Lixin Tang, Yanyan Zhang:
  Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times. 788-793
  
• Yongyi Shou:
  A Neural Network Based Heuristic for Resource-Constrained Project Scheduling. 794-799
  
• Ping Wang, Hong-Zhong Huang, Ming J. Zuo, Weidong Wu, Chunsheng Liu:
  Functional-Link Net Based Multiobjective Fuzzy Optimization. 800-804
  
• Xianghui Liu, Jianping Yin, Zhiping Cai, Xicheng Lu, Shiming Chen:
  Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Neural Networks. 805-810
  
• Jinwu Gao, Yankui Liu:
  Stochastic Nash Equilibrium with a Numerical Solution Method. 811-816
  

Kernel Methods

• Zhenzhou Chen, Lei Li:
  Generalized Foley-Sammon Transform with Kernels. 817-823
  
• Hong-Jie Xing, Yujiu Yang, Yong Wang, Bao-Gang Hu:
  Sparse Kernel Fisher Discriminant Analysis. 824-830
  
• Peter Williams, Sheng Li, Jianfeng Feng, Si Wu:
  Scaling the Kernel Function to Improve Performance of the Support Vector Machine. 831-836
  
• Liangzhi Gan, Zonghai Sun, Youxian Sun:
  Online Support Vector Machines with Vectors Sieving Method. 837-842
  
• Xiangjun Wen, Yunze Cai, Xiaoming Xu:
  Least Squares Support Vector Machine Based on Continuous Wavelet Kernel. 843-850
  
• Liefeng Bo, Ling Wang, Licheng Jiao:
  Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error. 851-856
  
• Daewon Lee, Jaewook Lee:
  Trajectory-Based Support Vector Multicategory Classifier. 857-862
  
• Jingqing Jiang, Chunguo Wu, Yanchun Liang:
  Multi-category Classification by Least Squares Support Vector Regression. 863-868
  
• Zhifeng Hao, Bo Liu, Xiaowei Yang, Yanchun Liang, Feng Zhao:
  Twi-Map Support Vector Machine for Multi-classification Problems. 869-874
  
• Jun Feng, Yang Yang, Jinsheng Fan:
  Fuzzy Multi-class SVM Classifier Based on Optimal Directed Acyclic Graph Using in Similar Handwritten Chinese Characters Recognition. 875-880
  
• Yimin Wen, Bao-Liang Lu:
  A Hierarchical and Parallel Method for Training Support Vector Machines. 881-886
  
• Kaian Wang, Hai Zhao, Bao-Liang Lu:
  Task Decomposition Using Geometric Relation for Min-Max Modular SVMs. 887-892
  
• Shuyuan Yang, Min Wang, Licheng Jiao, Qing Li:
  A Novel Ridgelet Kernel Regression Method. 893-899
  
• Jianhua Xu:
  Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound. 900-905
  
• Zejian Yuan, Nanning Zheng, Yuehu Liu:
  A Cascaded Mixture SVM Classifier for Object Detection. 906-912
  
• Hongwei Liu, Hongtao Su, Zheng Bao:
  Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA. 913-918
  
• Meiying Ye:
  Controlling Chaotic Systems via Support Vector Machines Without Analytical Model. 919-924
  
• Fei Xing, Ping Guo:
  Support Vector Regression for Software Reliability Growth Modeling and Prediction. 925-930
  
• Peng Fu, Deyun Zhang, Zhaofeng Ma, Hao Dong:
  SVM-Based Semantic Text Categorization for Large Scale Web Information Organization. 931-936
  
• Zhousuo Zhang, Qiao Hu, Zhengjia He:
  Fuzzy Support Vector Machine and Its Application to Mechanical Condition Monitoring. 937-942
  

Component Analysis

• Juan Manuel Górriz Sáez, Carlos García Puntonet, Angel Manuel Gómez, Oscar Pernía:
  Guided GA-ICA Algorithms. 943-948
  
• Jian Cheng, Kongqiao Wang, Yen-Wei Chen:
  A Cascaded Ensemble Learning for Independent Component Analysis. 949-954
  
• Dengpan Gao, Jinwen Ma, QianSheng Cheng:
  A Step by Step Optimization Approach to Independent Component Analysis. 955-960
  
• Gang Wang, Xin Xu, Dewen Hu:
  Self-adaptive FastICA Based on Generalized Gaussian Model. 961-966
  
• Zhilin Zhang, Zhang Yi:
  An Efficient Independent Component Analysis Algorithm for Sub-Gaussian Sources. 967-972
  
• Jianzhao Qin, Yuanqing Li, Andrzej Cichocki:
  ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System. 973-978
  
• Yi-qiong Xu, Bi-cheng Li, Bo Wang:
  Fast Independent Component Analysis for Face Feature Extraction. 979-984
  
• Chengming Liu, Xuming Huang, LiMing Zhang:
  Affine Invariant Descriptors for Color Images Based on Independent Component Analysis. 985-990
  
• Linhua Zhang, Shaojiang Deng, Xuebing Wang:
  A New Image Protection and Authentication Technique Based on ICA. 991-996
  
• Tao Jiang, Xingzhou Jiang:
  Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis. 997-1003
  
• Dazheng Feng:
  A Multistage Decomposition Approach for Adaptive Principal Component Analysis. 1004-1009
  
• Xiao-Long Zhu, Xian-Da Zhang, Ying Jia:
  A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis. 1010-1015
  
• Vo Dinh Minh Nhat, Sungyoung Lee:
  An Improvement on PCA Algorithm for Face Recognition. 1016-1021
  
• Tianqi Zhang, Xiaokang Lin, Zhengzhong Zhou, Aiping Mu:
  A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals. 1022-1027
  
• Dezhong Peng, Zhang Yi, XiaoLin Xiang:
  A Modified MCA EXIN Algorithm and Its Convergence Analysis. 1028-1033
  
• Mao Ye:
  Robust Beamforming by a Globally Convergent MCA Neural Network. 1034-1041
  

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