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ORCIDISNN 2005: Chongqing, China
- Jun Wang, Xiaofeng Liao, Zhang Yi:
Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3496, Springer 2005, ISBN 3-540-25912-0
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, Lan Xiang:
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 - Meng-Hui 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, Guozheng 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 - Dong-Sun Kim, Hyunsik Kim, Duck-Jin 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 Jian 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, Yu-Jiu 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 - Kai-An 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, Xianda 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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