ISNN 2006:
Chengdu,
China
Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (Eds.):
Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I.
Lecture Notes in Computer Science 3971 Springer 2006, ISBN 3-540-34439-X BibTeX
Neurobiological Analysis
- Si Wu, Jianfeng Feng, Shun-ichi Amari:
The Ideal Noisy Environment for Fast Neural Computation.
1-6
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- Xu-Dong Wang, Jiang Hao, Mu-Ming Poo, Xiao-Hui Zhang:
How Does a Neuron Perform Subtraction? Arithmetic Rules of Synaptic Integration of Excitation and Inhibition.
7-14
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- Jun Liu, Jian Wu, Zhengguo Lou, Guang Li:
Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver.
15-20
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- Huafu Chen, Ling Zeng, Dezhong Yao, Qing Gao:
A Gaussian Dynamic Convolution Models of the FMRI BOLD Response.
21-26
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- Mingxiao Ding, Naigong Yu, Xiaogang Ruan:
Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion.
27-33
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- Toshihiko Matsuka:
A Model of Category Learning with Attention Augmented Simplistic Prototype Representation.
34-40
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- Toshihiko Matsuka, Arieta Chouchourelou:
On the Learning Algorithms of Descriptive Models of High-Order Human Cognition.
41-49
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- Rubin Wang, Jing Yu, Zhikang Zhang:
A Neural Model on Cognitive Process.
50-59
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Theoretical Analysis
- Zong-Ben Xu, Jianjun Wang, Deyu Meng:
Approximation Bound of Mixture Networks in Lomegap Spaces.
60-65
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- Feng-jun Li, Zongben Xu:
Integral Transform and Its Application to Neural Network Approximation.
66-71
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- Chunmei Ding, Feilong Cao, ZongBen Xu:
The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.
72-79
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- Yong Fang, Tommy W. S. Chow:
Wavelets Based Neural Network for Function Approximation.
80-85
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- Alejandro Cruz Sandoval, Wen Yu:
Passivity Analysis of Dynamic Neural Networks with Different Time-Scales.
86-92
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- Zhiguo Yang, Daoyi Xu, Yumei Huang:
Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms.
93-99
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- Min-Jae Kang, Ho-Chan Kim, Farrukh Aslam Khan, Wang-Cheol Song, Jacek M. Zurada:
Convergence Analysis of Continuous-Time Neural Networks.
100-108
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- Weirui Zhao, Huanshui Zhang:
Global Convergence of Continuous-Time Recurrent Neural Networks with Delays.
109-114
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- Xiaoxin Liao, Zhigang Zeng:
Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks.
115-121
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- Yi Shen, Meiqin Liu, Xiaodong Xu:
Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay.
122-128
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- Gang Wang, Huaguang Zhang, Chonghui Song:
New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays.
129-134
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- Changyin Sun, Linfeng Li:
Dynamics of General Neural Networks with Distributed Delays.
135-140
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- Shuyong Li, Yumei Huang, Daoyi Xu:
On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays.
141-146
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- Hanlin He, Xiaoxin Liao:
Stability Analysis of Neutral Neural Networks with Time Delay.
147-152
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- Jianlong Qiu, Jinde Cao:
Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms.
153-158
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- Wudai Liao, Zhongsheng Wang, Xiaoxin Liao:
Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying Delays.
159-164
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- Xuyang Lou, Baotong Cui:
Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process.
165-171
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- Li Xie, Tianming Liu, Guodong Lu, Jilin Liu, Stephen T. C. Wong:
Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations.
172-178
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- Jun Xu, Daoying Pi, Yong-Yan Cao:
Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays.
179-184
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- Yongqing Yang:
Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses.
185-191
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- Tianping Chen, Wenlian Lu:
Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays.
192-197
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- Ce Ji, Huaguang Zhang, Chonghui Song:
LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple Delays.
198-203
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- Tianping Chen, Lili Wang, Changlei Ren:
Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen- Grossberg Neural Networks.
204-210
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- Li-qun Zhou, Guang-da Hu:
A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks.
211-216
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- Weifan Zheng, Jiye Zhang, Weihua Zhang:
Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays.
217-223
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- Wudai Liao, Yulin Xu, Xiaoxin Liao:
Exponential Stability of Delayed Stochastic Cellular Neural Networks.
224-229
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- Chaojin Fu, Boshan Chen:
Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses.
230-235
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- Jiye Zhang, Dianbo Ren, Weihua Zhang:
Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays.
236-242
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- Tingwen Huang, Marco Roque-Sol:
Stability of Fuzzy Cellular Neural Networks with Impulses.
243-248
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- Xiaoxin Liao, Fei Xu, Pei Yu:
Absolute Stability of Hopfield Neural Network.
249-254
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- Bingji Xu, Qun Wang:
Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov Switching.
255-260
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- Wei Zhu, Daoyi Xu:
Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays.
261-266
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- Shengrui Zhang, Runnian Ma:
Convergence Analysis of Discrete Delayed Hopfield Neural Networks.
267-272
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- Minghui Jiang, Yi Shen, Xiaoxin Liao:
An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay.
273-278
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- Hui Wang, Xiaofeng Liao, Chuandong Li, Degang Yang:
Existence of Periodic Solution of BAM Neural Network with Delay and Impulse.
279-284
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- Min Xiao, Jinde Cao:
On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback.
285-290
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- Hong Qu, Zhang Yi:
Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons.
291-296
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- Wentong Liao, Linshan Wang:
Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales.
297-302
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- Jin Zhou, Tianping Chen, Xiang Lan, Meichun Liu:
Global Synchronization of Impulsive Coupled Delayed Neural Networks.
303-308
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- Ping Li:
Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay.
309-315
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- Yan Huang, Xiao-Song Yang:
Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network.
316-321
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- Hongwei Wang, Hong Gu:
Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network.
322-327
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- Haigeng Luo, Xiaodong Xu, Xiaoxin Liao:
Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons.
328-333
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- Guang-Hong Wang, Ping Jiang:
Autapse Modulated Bursting.
334-343
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Neurodynamic Optimization
- Guocheng Li, Shiji Song, Cheng Wu, Zifang Du:
A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset.
344-349
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- Shiji Song, Guocheng Li, Xiaohong Guan:
Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset.
350-358
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- Fuye Feng, Yong Xia, Quanju Zhang:
A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints.
359-368
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- Qingshan Liu, Jun Wang, Jinde Cao:
A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints.
369-378
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- Yao-qun Xu, Ming Sun, Guangren Duan:
Wavelet Chaotic Neural Networks and Their Application to Optimization Problems.
379-384
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- Ling Qin, Yixin Chen, Ling Chen, Yuan Yao:
A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy.
385-390
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- Paulo Henrique Siqueira, Sérgio Scheer, Maria Teresinha Arns Steiner:
A New Neural Network Approach to the Traveling Salesman Problem.
391-398
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- Lijun Liu, Wei Wu:
Dynamical System for Computing Largest Generalized Eigenvalue.
399-404
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- Yiguang Liu, Zhisheng You:
A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices.
405-413
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Learning Algorithms
- Frank Emmert-Streib:
A Novel Stochastic Learning Rule for Neural Networks.
414-423
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- Deepak Mishra, Abhishek Yadav, Prem Kumar Kalra:
Learning with Single Quadratic Integrate-and-Fire Neuron.
424-429
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- Hongyu Li, I-Fan Shen:
Manifold Learning of Vector Fields.
430-435
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- Hongyu Li, I-Fan Shen:
Similarity Measure for Vector Field Learning.
436-441
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- Jinwen Ma, Bin Cao:
The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm.
442-447
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- Seongwon Cho, Jaemin Kim, Sun-Tae Chung:
Dynamic Competitive Learning.
448-455
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- Jinwuk Seok, Seongwon Cho, Jaemin Kim:
Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks.
456-463
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- Zhiwu Lu, Jinwen Ma:
A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.
464-469
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- Ah-Hwee Tan:
Self-organizing Neural Architecture for Reinforcement Learning.
470-475
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- SeungGwan Lee:
On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces.
476-481
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- Lianwei Zhao, Siwei Luo, Mei Tian, Chao Shao, Hongliang Ma:
Combining Label Information and Neighborhood Graph for Semi-supervised Learning.
482-488
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- Liang Liu, Naigong Yu, Mingxiao Ding, Xiaogang Ruan:
A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System.
489-495
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- Lei Guo, Hong Wang:
An Optimal Iterative Learning Scheme for Dynamic Neural Network Modelling.
496-501
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- Toshinori Deguchi, Naohiro Ishii:
Delayed Learning on Internal Memory Network and Organizing Internal States.
502-508
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- Huawei Chen, Fan Jin:
A Novel Learning Algorithm for Feedforward Neural Networks.
509-514
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- He-Sheng Tang, Song-Tao Xue, Rong Chen:
On Hinfinity Filtering in Feedforward Neural Networks Training and Pruning.
515-523
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- Jinhua Xu, Daniel W. C. Ho:
A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks.
524-529
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- Eu Jin Teoh, Cheng Xiang, Kay Chen Tan:
A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse.
530-536
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- Hai Zhao, Bao-Liang Lu:
A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning.
537-544
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- Haixia Chen, Senmiao Yuan, Kai Jiang:
Selective Neural Network Ensemble Based on Clustering.
545-550
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- Songsong Li, Toshimi Okada, Xiaoming Chen, Zheng Tang:
An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks.
551-557
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- Marco A. Moreno-Armendariz, Giovanni Egidio Pazienza, Wen Yu:
Training Cellular Neural Networks with Stable Learning Algorithm.
558-563
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- Yangmin Li, Xin Chen:
A New Stochastic PSO Technique for Neural Network Training.
564-569
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- Ben Niu, Yunlong Zhu, Xiaoxian He:
A Multi-population Cooperative Particle Swarm Optimizer for Neural Network Training.
570-576
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- Haichang Gao, Boqin Feng, Yun Hou, Li Zhu:
Training RBF Neural Network with Hybrid Particle Swarm Optimization.
577-583
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- Ming-Jung Seow, Vijayan K. Asari:
Robust Learning by Self-organization of Nonlinear Lines of Attractions.
584-589
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- Kai Zhang, Gen-Zhi Guan, Fang-Fang Chen, Lin Zhang, Zhi-Ye Du:
Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear System.
590-598
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- Kao-Shing Hwang, Yu-Jen Chen, Tzung-Feng Lin:
Q-Learning with FCMAC in Multi-agent Cooperation.
599-606
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- Xuesong Wang, Yuhu Cheng, Wei Sun:
Q Learning Based on Self-organizing Fuzzy Radial Basis Function Network.
607-615
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- Haisheng Lin, Xiao Zhi Gao, Xianlin Huang, Zhuoyue Song:
A Fuzzy Neural Networks with Structure Learning.
616-622
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- Mariela Cerrada, Jose Aguilar, André Titli:
Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy Identification.
623-630
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- Fei Han, Tat-Ming Lok, Michael R. Lyu:
A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine.
631-636
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- Jun-Seok Lim, Koeng-Mo Sung, Joonil Song:
Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical Precision.
637-643
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- You Xu, Yang Shu:
Evolutionary Extreme Learning Machine - Based on Particle Swarm Optimization.
644-652
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- You Xu:
A Gradient-Based ELM Algorithm in Regressing Multi-variable Functions.
653-658
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- Jaehun Lee, Wooyong Chung, Euntai Kim:
A New Genetic Approach to Structure Learning of Bayesian Networks.
659-668
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Model Design
- Shoujue Wang, Singsing Liu, Wenming Cao:
Research on Multi-Degree-of-Freedom Neurons with Weighted Graphs.
669-675
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- Hong Yue, Aurelie J. A. Leprand, Hong Wang:
Output PDF Shaping of Singular Weights System: Monotonical Performance Design.
676-682
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- Yi Shen, Meiqin Liu, Xiaodong Xu:
Stochastic Time-Varying Competitive Neural Network Systems.
683-688
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- Dong-Chul Park, Duc-Hoai Nguyen, Song-Jae Lee, Yunsik Lee:
Heterogeneous Centroid Neural Networks.
689-694
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- Shuzhong Yang, Siwei Luo, Jianyu Li:
Building Multi-layer Small World Neural Network.
695-700
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- Stones Lei Zhang, Zhang Yi, Jiancheng Lv:
Growing Hierarchical Principal Components Analysis Self-Organizing Map.
701-706
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- Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee:
Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory.
707-713
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- Yan-Peng Liu, Ming-Guang Wu, Ji-Xin Qian:
Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP Algorithms.
714-722
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- Dong-Sun Kim, Hyun-Sik Kim, Duck-Jin Chung:
A Genetic Algorithm with Modified Tournament Selection and Efficient Deterministic Mutation for Evolving Neural Network.
723-731
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- Yunhui Liu, Siwei Luo, Ziang Lv, Hua Huang:
A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection Criterion.
732-738
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- Zhu-Hong Zhang, Xin Tu, Chang-Gen Peng:
A Parallel Coevolutionary Immune Neural Network and Its Application to Signal Simulation.
739-746
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- Ji-Xiang Du, Chuan-Min Zhai, Zeng-Fu Wang, Guo-Jun Zhang:
A Novel Elliptical Basis Function Neural Networks Optimized by Particle Swarm Optimization.
747-751
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- Ming Ma, Libiao Zhang, Jie Ma, Chunguang Zhou:
Fuzzy Neural Network Optimization by a Particle Swarm Optimization Algorithm.
752-761
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- Sumitra Mukhopadhyay, Ajit K. Mandal:
Fuzzy Rule Extraction Using Robust Particle Swarm Optimization.
762-767
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- Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn:
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms.
768-773
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- Sung-Kwun Oh, In-Tae Lee, Jeoung-Nae Choi:
Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System.
774-779
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- Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn:
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis.
780-785
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- Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz:
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference.
786-791
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- Lei Zhang, Guoyou Wang, Wentao Wang:
A New Fuzzy ART Neural Network Based on Dual Competition and Resonance Technique.
792-797
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- Chang-Wook Han, Jung-Il Park:
Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural Networks.
798-803
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- Huaguang Zhang, Yanhong Luo, Derong Liu:
A New Fuzzy Identification Method Based on Adaptive Critic Designs.
804-809
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- Wei-Hong Xu, Guo-Ping Chen, Zhong-Ke Xie:
Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-Norms.
810-817
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- Cornelio Yáñez-Márquez, Luis Pastor Sanchez Fernandez, Itzamá López-Yáñez:
Alpha-Beta Associative Memories for Gray Level Patterns.
818-823
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- Zhigang Zeng, Jun Wang:
Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates.
824-829
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- Roy Kwang Yang Chang, Chu Kiong Loo, Machavaram Venkata Chalapathy Rao:
Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means.
830-836
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- Marija Bacauskiene, Vladas Cibulskis, Antanas Verikas:
Selecting Variables for Neural Network Committees.
837-842
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- Qingyu Xiong, Jian Huang, Xiaodong Xian, Qian Xiao:
An Adaptive Network Topology for Classification.
843-848
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- Emad A. M. Andrews Shenouda:
A Quantitative Comparison of Different MLP Activation Functions in Classification.
849-857
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- Eu Jin Teoh, Cheng Xiang, Kay Chen Tan:
Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition.
858-865
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- Jiang Zhong, Chunxiao Ye, Yong Feng, Ying Zhou, Zhongfu Wu:
Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network.
866-872
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- Yuehui Chen, Lizhi Peng, Ajith Abraham:
Hierarchical Radial Basis Function Neural Networks for Classification Problems.
873-879
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- Fang Liu, Jian-Zhong Zhou, Fang-Peng Qiu, Jun-Jie Yang:
Biased Wavelet Neural Network and Its Application to Streamflow Forecast.
880-888
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- Yanlai Li, Kuanquan Wang, Tao Li:
A Goal Programming Based Approach for Hidden Targets in Layer-by-Layer Algorithm of Multilayer Perceptron Classifiers.
889-894
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- Zhou Yang, Wenjie Zhu, Liang Ji:
SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM Principle.
895-902
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- Haijun Li, Zheng-Xuan Wang, Limin Wang, Senmiao Yuan:
Flexible Neural Tree for Pattern Recognition.
903-908
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- Lei Wang, Yinling Nie, Weike Nie, Licheng Jiao:
A Novel Model of Artificial Immune Network and Simulations on Its Dynamics.
909-914
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Kernel Methods
- Bo Chen, Hongwei Liu, Zheng Bao:
A Kernel Optimization Method Based on the Localized Kernel Fisher Criterion.
915-921
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- Bo Jin, Yan-Qing Zhang:
Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison.
922-927
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- Luoqing Li, Chenggao Wan:
Support Vector Machines with Beta-Mixing Input Sequences.
928-935
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- Fangfang Wu, Yinliang Zhao:
Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set.
936-941
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- Huihong Jin, Zhiqing Meng, Xuanxi Ning:
A Smoothing Multiple Support Vector Machine Model.
942-948
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- Hongbing Liu, Shengwu Xiong, Xiaoxiao Niu:
Fuzzy Support Vector Machines Based on Spherical Regions.
949-954
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- Marek Bundzel, Tomás Kasanický, Baltazár Frankovic:
Building Support Vector Machine Alternative Using Algorithms of Computational Geometry.
955-961
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- Shengfeng Tian, Shaomin Mu, Chuanhuan Yin:
Cooperative Clustering for Training SVMs.
962-967
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- Xiaohong Wang, Sitao Wu, Xiaoru Wang, Qunzhan Li:
SVMV - A Novel Algorithm for the Visualization of SVM Classification Results.
968-973
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- Genting Yan, Guangfu Ma, Liangkuan Zhu:
Support Vector Machines Ensemble Based on Fuzzy Integral for Classification.
974-980
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- Shu Yu, Xiaowei Yang, Zhifeng Hao, Yanchun Liang:
An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem.
981-990
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- Woo-Sung Kang, Ki Hong Im, Jin Young Choi:
SVDD-Based Method for Fast Training of Multi-class Support Vector Classifier.
991-996
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- Bo Liu, Xiaowei Yang, Zhifeng Hao:
Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification.
997-1003
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- Jianhua Xu:
A Fast and Sparse Implementation of Multiclass Kernel Perceptron Algorithm.
1004-1009
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- Jingqing Jiang, Chuyi Song, Chunguo Wu, Yangchun Liang, Xiaowei Yang, Zhifeng Hao:
Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.
1010-1015
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- Liangzhi Gan, Hai-kuan Liu, Youxian Sun:
Sparse Least Squares Support Vector Machine for Function Estimation.
1016-1021
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- Feng-Qing Han, Da-Cheng Wang, Chuan-Dong Li, Xiao-Feng Liao:
A Multiresolution Wavelet Kernel for Support Vector Regression.
1022-1029
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- Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei:
Multi-scale Support Vector Machine for Regression Estimation.
1030-1037
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- Dong-Chul Park, Chung-Nguyen Tran, Sancho Park:
Gradient Based Fuzzy C-Means Algorithm with a Mercer Kernel.
1038-1043
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- Yun-Wei Pu, Ming Zhu, Weidong Jin, Laizhao Hu:
An Efficient Similarity-Based Validity Index for Kernel Clustering Algorithm.
1044-1049
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- En-Hui Zheng, Min Yang, Ping Li, Zhi-Huan Song:
Fuzzy Support Vector Clustering.
1050-1056
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- Chengbo Wang, Chengan Guo:
An SVM Classification Algorithm with Error Correction Ability Applied to Face Recognition.
1057-1062
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- Zejian Yuan, Lei Yang, Yanyun Qu, Yuehu Liu, Xinchun Jia:
A Boosting SVM Chain Learning for Visual Information Retrieval.
1063-1069
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- Bo Wu, Liangpei Zhang, Pingxiang Li, Jinmu Zhang:
Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection.
1070-1075
Electronic Edition (link) BibTeX
- Li Sun, Ling Jing, Xiaodong Xia:
A New Proximal Support Vector Machine for Semi-supervised Classification.
1076-1082
Electronic Edition (link) BibTeX
- Liefeng Bo, Ling Wang, Licheng Jiao:
Sparse Gaussian Processes Using Backward Elimination.
1083-1088
Electronic Edition (link) BibTeX
- Xunkai Wei, Yinghong Li, Yue Feng:
Comparative Study of Extreme Learning Machine and Support Vector Machine.
1089-1095
Electronic Edition (link) BibTeX
ICA and BSS
- Woong Myung Kim, Chan-Ho Park, Hyon-Soo Lee:
Multi-level Independent Component Analysis.
1096-1102
Electronic Edition (link) BibTeX
- Tao Yu, Huai-Zong Shao, Qi-Cong Peng:
An ICA Learning Algorithm Utilizing Geodesic Approach.
1103-1108
Electronic Edition (link) BibTeX
- Gang Wang, NiNi Rao, Zhi-Lin Zhang, Quanyi Mo, Pu Wang:
An Extended Online Fast-ICA Algorithm.
1109-1114
Electronic Edition (link) BibTeX
- Shangming Yang:
Gradient Algorithm for Nonnegative Independent Component Analysis.
1115-1120
Electronic Edition (link) BibTeX
- Fasong Wang, Hongwei Li, Rui Li, Shaoquan Yu:
Unified Parametric and Non-parametric ICA Algorithm for Arbitrary Sources.
1121-1126
Electronic Edition (link) BibTeX
- Xiao-fei Shi, Ji-dong Suo, Chang Liu, Li Li:
A Novel Kurtosis-Dependent Parameterized Independent Component Analysis Algorithm.
1127-1132
Electronic Edition (link) BibTeX
- Gang Wang, Xin Xu, Dewen Hu:
Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis.
1133-1139
Electronic Edition (link) BibTeX
- Mao Ye, Xue Li, Chengfu Yang, Zengan Gao:
Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm.
1140-1146
Electronic Edition (link) BibTeX
- Ji-Min Ye, Shun-Tian Lou, Hai-Hong Jin, Xian-Da Zhang:
An Novel Algorithm for Blind Source Separation with Unknown Sources Number.
1147-1152
Electronic Edition (link) BibTeX
- Gaoming Huang, Luxi Yang, Zhenya He:
Blind Source Separation Based on Generalized Variance.
1153-1158
Electronic Edition (link) BibTeX
- Junying Zhang, Hongyi Zhang, Le Wei, Yue Joseph Wang:
Blind Source Separation with Pattern Expression NMF.
1159-1164
Electronic Edition (link) BibTeX
- Chun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok:
Nonlinear Blind Source Separation Using Hybrid Neural Networks.
1165-1170
Electronic Edition (link) BibTeX
- Xiaolu Li, Zhaoshui He:
Identification of Mixing Matrix in Blind Source Separation.
1171-1176
Electronic Edition (link) BibTeX
- Wenqiang Guo, Tianshuang Qiu, Yuzhang Zhao, Daifeng Zha:
Identification of Independent Components Based on Borel Measure for Under-Determined Mixtures.
1177-1182
Electronic Edition (link) BibTeX
- Ronghua Li, Ming Xiao:
Estimation of Delays and Attenuations for Underdetermined BSS in Frequency Domain.
1183-1188
Electronic Edition (link) BibTeX
- Gaoming Huang, Yang Gao, Luxi Yang, Zhenya He:
Application of Blind Source Separation to Five-Element Cross Array Passive Location.
1189-1194
Electronic Edition (link) BibTeX
- Hua Zhang, Dazhang Feng:
Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration Method.
1195-1201
Electronic Edition (link) BibTeX
- Bin Xia, Liqing Zhang:
Multichannel Blind Deconvolution Using a Novel Filter Decomposition Method.
1202-1207
Electronic Edition (link) BibTeX
- Feng Jiang, Liqing Zhang, Bin Xia:
Two-Stage Blind Deconvolution for V-BLAST OFDM System.
1208-1213
Electronic Edition (link) BibTeX
Data Preprocessing
- Xuelei Hu, Lei Xu:
A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models.
1214-1221
Electronic Edition (link) BibTeX
- Ping Ling, Chunguang Zhou:
Adaptive Support Vector Clustering for Multi-relational Data Mining.
1222-1230
Electronic Edition (link) BibTeX
- XuLei Yang, Qing Song, Meng Joo Er:
Robust Data Clustering in Mercer Kernel-Induced Feature Space.
1231-1237
Electronic Edition (link) BibTeX
- Hyun-Chul Kim, Jaewook Lee:
Pseudo-density Estimation for Clustering with Gaussian Processes.
1238-1243
Electronic Edition (link) BibTeX
- Lin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith:
Clustering Analysis of Competitive Learning Network for Molecular Data.
1244-1249
Electronic Edition (link) BibTeX
- Lin Wang, Minghu Jiang, Yinghua Lu, Frank Noe, Jeremy C. Smith:
Self-Organizing Map Clustering Analysis for Molecular Data.
1250-1255
Electronic Edition (link) BibTeX
- Mao-ting Gao, Zheng-ou Wang:
A Conscientious Rival Penalized Competitive Learning Text Clustering Algorithm.
1256-1260
Electronic Edition (link) BibTeX
- Kin Keung Lai, Lean Yu, Ligang Zhou, Shouyang Wang:
Self-Organizing-Map-Based Metamodeling for Massive Text Data Exploration.
1261-1266
Electronic Edition (link) BibTeX
- Jiabing Wang, Hong Peng, Jing-Song Hu, Jun Zhang:
Ensemble Learning for Keyphrases Extraction from Scientific Document.
1267-1272
Electronic Edition (link) BibTeX
- Yugang Fan, Ping Li, Zhi-Huan Song:
Grid-Based Fuzzy Support Vector Data Description.
1273-1279
Electronic Edition (link) BibTeX
- Yang Weon Lee:
Development of the Hopfield Neural Scheme for Data Association in Multi-target Tracking.
1280-1285
Electronic Edition (link) BibTeX
- Dong Sun, Yong Deng:
Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Neural Network.
1286-1292
Electronic Edition (link) BibTeX
- Junlin Zhou, Yan Fu:
Scientific Data Lossless Compression Using Fast Neural Network.
1293-1298
Electronic Edition (link) BibTeX
- Xiu-Rong Zhao, Qing He, Zhongzhi Shi:
HyperSurface Classifiers Ensemble for High Dimensional Data Sets.
1299-1304
Electronic Edition (link) BibTeX
- Jen-Cheng Chen, Jia-Sheng Heh, Maiga Chang:
Designing a Decompositional Rule Extraction Algorithm for Neural Networks.
1305-1311
Electronic Edition (link) BibTeX
- Qutang Cai, Changshui Zhang:
Estimating Fractal Intrinsic Dimension from the Neighborhood.
1312-1318
Electronic Edition (link) BibTeX
- Junying Chen, Zheng Qin:
Dimensionality Reduction for Evolving RBF Networks with Particle Swarms.
1319-1325
Electronic Edition (link) BibTeX
- Heyong Wang, Jie Zheng, Zheng-an Yao, Lei Li:
Improved Locally Linear Embedding Through New Distance Computing.
1326-1333
Electronic Edition (link) BibTeX
- Dongyue Chen, LiMing Zhang:
An Incremental Linear Discriminant Analysis Using Fixed Point Method.
1334-1339
Electronic Edition (link) BibTeX
- Jun-Seok Lim, Joonil Song, Yonggook Pyeon:
A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) Algorithm.
1340-1345
Electronic Edition (link) BibTeX
- Junping Zhang, Chao Shen, Jufu Feng:
Classification with the Hybrid of Manifold Learning and Gabor Wavelet.
1346-1351
Electronic Edition (link) BibTeX
- Xizhao Wang, Hui Zhang:
A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection.
1352-1358
Electronic Edition (link) BibTeX
- Mohammed Attik:
Using Ensemble Feature Selection Approach in Selecting Subset with Relevant Features.
1359-1366
Electronic Edition (link) BibTeX
- Yan Wu, Yang Yang:
A New Method for Feature Selection.
1367-1372
Electronic Edition (link) BibTeX
- Zongxia Xie, Qinghua Hu, Daren Yu:
Improved Feature Selection Algorithm Based on SVM and Correlation.
1373-1380
Electronic Edition (link) BibTeX
- Ziqiang Wang, Dexian Zhang:
Feature Selection in Text Classification Via SVM and LSI.
1381-1386
Electronic Edition (link) BibTeX
- Qijun Zhao, Hongtao Lu, David Zhang:
Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines.
1387-1393
Electronic Edition (link) BibTeX
- Hui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang:
Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients.
1394-1399
Electronic Edition (link) BibTeX
- Gang Liu, Xi-Hai Li, Dai-Zhi Liu, Wei-Gang Zhai:
Feature Extraction of Underground Nuclear Explosions Based on NMF and KNMF.
1400-1405
Electronic Edition (link) BibTeX
- Feng Zhu, Yafeng Hu, Xianda Zhang, Deguang Xie:
Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets.
1406-1411
Electronic Edition (link) BibTeX
- Dong-hong Liu, Zhi-jie Chen, Wen-long Hu, Yong-shun Zhang:
Application of Self-organizing Feature Neural Network for Target Feature Extraction.
1412-1420
Electronic Edition (link) BibTeX
- Shi-Fei Ding, Zhong-Zhi Shi:
Divergence-Based Supervised Information Feature Compression Algorithm.
1421-1426
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:25:57 2009
by Michael Ley (ley@uni-trier.de)
