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ORCID13th ICONIP 2006: Hong Kong, China
- Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4232, Springer 2006, ISBN 3-540-46479-4
Neurobiological Modeling and Analysis
- Colin Molter, Naoyuki Sato, Utku Salihoglu, Yoko Yamaguchi:
How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus. 1-10 - Meng Hu, Jiaojie Li, Guang Li, Walter J. Freeman:
Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural Network. 11-18 - Hiroki Kurashige, Yutaka Sakai:
BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold. 19-29 - Guang-Li Wang, Xue Liu, Pu-Ming Zhang, Pei-Ji Liang:
A New Method for Multiple Spike Train Analysis Based on Information Discrepancy. 30-38 - Ryosuke Hosaka, Tohru Ikeguchi, Kazuyuki Aihara:
Self-organizing Rhythmic Patterns with Spatio-temporal Spikes in Class I and Class II Neural Networks. 39-48 - Toshio Akimitsu, Akira Hirose, Yoichi Okabe:
Self-organization Through Spike-Timing Dependent Plasticity Using Localized Synfire-Chain Patterns. 49-58 - Wuyin Jin, Zhiyuan Rui, Yaobing Wei, Changfeng Yan:
Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus. 59-64 - Ling Fu Meng, Chiu-Ping Lu, Bo-Wei Chen, Ching-Horng Chen:
Fatigue-Induced Reversed Hemispheric Plasticity During Motor Repetitions: A Brain Electrophysiological Study. 65-71 - Minoru Tsukada, Yoshiyuki Yamazaki:
Functional Differences Between the Spatio-temporal Learning Rule (STLR) and Hebb Type (HEBB) in Single Pyramidal Cells in the Hippocampal CA1 Area. 72-81 - Akhil Ranjan Garg, Basabi Bhaumik:
Ratio of Average Inhibitory to Excitatory Conductance Modulates the Response of Simple Cell. 82-89 - Beata J. Grzyb, Jacek Bialowas:
Modeling of LTP-Related Phenomena Using an Artificial Firing Cell. 90-96 - Kai Yin, Xiao-jie Zhao, Li Yao:
Time Variant Causality Model Applied in Brain Connectivity Network Based on Event Related Potential. 97-104 - Alan Rosen, David B. Rosen:
An Electromechanical Neural Network Robotic Model of the Human Body and Brain: Sensory-Motor Control by Reverse Engineering Biological Somatic Sensors. 105-116
Cognitive Processing
- Toshikazu Samura, Motonobu Hattori, Shun Ishizaki:
Sequence Disambiguation by Functionally Divided Hippocampal CA3 Model. 117-126 - Xiaodi Hou, Liqing Zhang:
A Time-Dependent Model of Information Capacity of Visual Attention. 127-136 - Abdelhamid Bouchachia:
Learning with Incrementality. 137-146 - Fumiko Tanabe, Ken Mogi:
Lability of Reactivated Human Declarative Memory. 147-154 - Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Hiok Chai Quek
:
A Neuropsychologically-Inspired Computational Approach to the Generalization of Cerebellar Learning. 155-164 - Osamu Watanabe:
A Neural Model for Stereo Transparency with the Population of the Disparity Energy Models. 165-174 - Xia Wu, Li Yao, Zhi-ying Long, Jie Lu, Kuncheng Li:
Functional Connectivity in the Resting Brain: An Analysis Based on ICA. 175-182 - Cheng-Yuan Liou, Jau-Chi Huang, Wen-Chie Yang:
Semantic Addressable Encoding. 183-192 - Mei Tian, Siwei Luo, Lingzhi Liao, Lianwei Zhao:
Top-Down Attention Guided Object Detection. 193-202 - Y. Lin, Y. P. Zhang, R. H. Wu, H. Li, Z. W. Shen, X. K. Chen, K. Huang, G. Guo:
Absolute Quantification of Brain Creatine Concentration Using Long Echo Time PRESS Sequence with an External Standard and LCModel: Verification with in Vitro HPLC Method. 203-210 - Ryszard Tadeusiewicz, Andrzej Izworski:
Learning in Neural Network - Unusual Effects of "Artificial Dreams". 211-218 - Nobuhiko Wagatsuma, Kô Sakai:
Spatial Attention in Early Vision Alternates Direction-of-Figure. 219-227 - Fuminori Mizushima, Takashi Toyoshima:
Language Learnability by Feedback Self-Organizing Maps. 228-236 - Jose Ignacio Serrano, M. Dolores del Castillo:
Text Representation by a Computational Model of Reading. 237-246 - Hyungwook Yim, Changsu Park, Heuiseok Lim, Kichun Nam:
Mental Representation and Processing Involved in Comprehending Korean Regular and Irregular Verb Eojeols: An fMRI and Reaction Time Study. 247-254 - Hidetaka Morisawa, Daisuke Hirayama, Kazuhisa Fujita, Yoshiki Kashimori, Takeshi Kambara:
Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn Owl. 255-262 - Seiichi Hirooka, Kazuhisa Fujita, Yoshiki Kashimori:
Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of Bat. 263-271 - Tian Guan, Qin Gong, Datian Ye:
A Novel Speech Processing Algorithm for Cochlear Implant Based on Selective Fundamental Frequency Control. 272-279 - Emad A. M. Andrews Shenouda, Quaid Morris, Anthony J. Bonner:
Connectionist Approaches for Predicting Mouse Gene Function from Gene Expression. 280-289 - Gisoon Yu, Choong-Myung Kim, Dong Hwee Kim, Kichun Nam:
Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic Ambiguity. 290-297 - Wojciech Kacalak, Maciej Majewski:
Intelligent System for Automatic Recognition and Evaluation of Speech Commands. 298-305 - Rubin Wang, Zhikang Zhang:
A New Mechanism on Brain Information Processing - Energy Coding. 306-313
Mathematical Modeling and Analysis
- Man-Wai Mak, Sun-Yuan Kung:
A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques. 314-323 - Chi-Fai Lo, T. K. Chung:
First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model. 324-331 - Zhan Shu, James Lam:
Delay-Dependent Exponential Estimates of Stochastic Neural Networks with Time Delay. 332-341 - Xiang Peng, Irwin King:
Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks. 342-351 - Takashi Saeki, Tsutomu Miki:
Improvement of the Perfect Recall Rate of Block Splitting Type Morphological Associative Memory Using a Majority Logic Approach. 352-360 - Colin Fyfe, Gayle Leen:
Two Methods for Sparsifying Probabilistic Canonical Correlation Analysis. 361-370 - Saejoon Kim:
Turbo Decoding as an Instance of Expectation Maximization Algorithm. 371-378 - Wenlian Lu, Tianping Chen:
Dynamical Behaviors of a Large Class of Delayed Differential Systems with Discontinuous Right-Hand Side. 379-386 - Hiroaki Arie, Jun Namikawa, Tetsuya Ogata, Jun Tani, Shigeki Sugano:
Reinforcement Learning Algorithm with CTRNN in Continuous Action Space. 387-396 - Masahiro Nakagawa:
Entropy Based Associative Model. 397-406 - Tikara Hosino, Kazuho Watanabe, Sumio Watanabe:
Free Energy of Stochastic Context Free Grammar on Variational Bayes. 407-416 - Yu Nishiyama, Sumio Watanabe:
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines. 417-426 - Raphael V. Carneiro, Stiven Schwanz Dias, Dijalma Fardin, Hallysson Oliveira, Artur S. d'Avila Garcez, Alberto Ferreira de Souza:
Improving VG-RAM Neural Networks Performance Using Knowledge Correlation. 427-436 - Jinhyuk Choi, Geehyuk Lee:
The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative Memory. 437-446 - Hui Kong, Jian-Gang Wang:
Coupling Adaboost and Random Subspace for Diversified Fisher Linear Discriminant. 447-456 - Hengqing Tong, Li Xiong, Hui Peng:
Self-organized Path Constraint Neural Network: Structure and Algorithm. 457-466 - Yao-Qun Xu, Ming Sun, Ji-hong Shen:
Gauss Wavelet Chaotic Neural Networks. 467-476 - Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa:
Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms. 477-486 - SeungGwan Lee:
A Cooperation Online Reinforcement Learning Approach in Ant-Q. 487-494 - Haiqing Wang, Daoying Pi, Ning Jiang, Steven X. Ding:
Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace Decomposition. 495-504 - Jayashri Vajpai, J. B. Arun:
A Soft Computing Based Approach for Modeling of Chaotic Time Series. 505-512 - Yatong Zhou, Taiyi Zhang, Xiaohe Li:
Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model. 513-520 - John Sum, Andrew Chi-Sing Leung, Kevin Ho:
Prediction Error of a Fault Tolerant Neural Network. 521-528 - Wudai Liao, Dongyun Wang, Yulin Xu, Xiaoxin Liao:
Delay-Dependent and Delay-Independent Stability Conditions of Delayed Cellular Neural Networks. 529-536 - Ke Zhang, Sadayuki Murashima:
The Perfect Recalling Rate of Morphological Associative Memory. 537-546 - Akio Kawana, Shinya Tsuzuki, Osamu Watanabe:
Analysis of Dynamics of Cultured Neuronal Networks Using I&F Model. 547-553 - Run-Nian Ma, Guoqiang Bai:
Convergence Study of Discrete Neural Networks with Delay. 554-561 - Wei Wu, Hongmei Shao, Zhengxue Li:
Convergence of Batch BP Algorithm with Penalty for FNN Training. 562-569 - Zeynep Orman, Sabri Arik:
New Results for Global Stability of Cohen-Grossberg Neural Networks with Discrete Time Delays. 570-579 - Weirui Zhao, Huanshui Zhang:
Global Stability of Cohen-Grossberg Neural Networks with Distributed Delays. 580-590 - Chaojin Fu, Zhongsheng Wang:
Exponential Stability of Neural Networks with Distributed Time Delays and Strongly Nonlinear Activation Functions. 591-597 - Yonggui Kao, Cunchen Gao, Lu Wu, Qinghe Ming:
Global Stability of Bidirectional Associative Memory Neural Networks with Variable Coefficients and S-Type Distributed Delays. 598-607 - Deepak Mishra, Arvind Tolambiya, Amit Shukla, Prem Kumar Kalra:
Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network. 608-615
Learning Algorithms
- Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture. 616-625 - Ryotaro Kamimura, Fumihiko Yoshida, Ryozo Kitajima:
Collective Information-Theoretic Competitive Learning: Emergency of Improved Performance by Collectively Treated Neurons. 626-633 - Chuanhuan Yin, Shengfeng Tian, Shaomin Mu:
A Fast Bit-Parallel Algorithm for Gapped String Kernels. 634-641 - Bo Shao, Zhitong Cao, Yuetong Xu:
A RBFN Based Cogging Force Estimator of PMLSM with q<1 Structure. 642-649 - Shingo Takamatsu, Shinichi Nakajima, Sumio Watanabe:
Localized Bayes Estimation for Non-identifiable Models. 650-659 - Hengqing Tong, Yanfang Deng, Ziling Li:
Optimality of Kernel Density Estimation of Prior Distribution in Bayes Network. 660-669 - Kyu Baek Hwang, Byoung-Hee Kim, Byoung-Tak Zhang:
Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis. 670-679 - Limin Wang:
Learning Bayesian-Neural Network from Mixed-Mode Data. 680-687 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble. 688-697 - Shuichi Kurogi, Shinya Tanaka, Ryohei Koyama, Takeshi Nishida:
Ensemble of Competitive Associative Nets and a Method to Select an Effective Number of Units. 698-707 - Thiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity. 708-717 - Bingjie Liu, Changhua Hu:
Integrated Neural Network Ensemble Algorithm Based on Clustering Technology. 718-726 - Dmitry Kropotov, Dmitry P. Vetrov, Nikita Ptashko, Oleg Vasiliev:
The Use of Stability Principle for Kernel Determination in Relevance Vector Machines. 727-736 - Haiqing Wang, Ping Li, Zhi-Huan Song, Steven X. Ding:
Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification. 737-746 - Mauricio A. Álvarez, Ricardo Henao:
Probabilistic Kernel Principal Component Analysis Through Time. 747-754 - Imhoi Koo, Rhee Man Kil:
Confidence Intervals for the Risks of Regression Models. 755-764 - Thanapant Raicharoen, Chidchanok Lursinsap, Frank C. Lin:
A Divide-and-Conquer Approach to the Pairwise Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression Problem. 765-772
Support Vector Machines
- Wen Wen, Zhifeng Hao, Zhuangfeng Shao, Xiaowei Yang, Ming Chen:
A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression. 773-781 - Kai Quan Shen, Chong Jin Ong, Xiaoping Li, Hui Zheng, Einar P. V. Wilder-Smith:
Feature Selection Using SVM Probabilistic Outputs. 782-791 - Ha-Nam Nguyen, Syng-Yup Ohn:
Unified Kernel Function and Its Training Method for SVM. 792-800 - Ping Ling, Zhe Wang, Chunguang Zhou:
A Spectrum-Based Support Vector Algorithm for Relational Data Semi-supervised Classification. 801-810 - Bo Chen, Hongwei Liu, Zheng Bao:
Speeding Up SVM in Test Phase: Application to Radar HRRP ATR. 811-818 - Yinshan Jia, Wang Yumei:
A New Dual nu-Support Vector Machine. 819-826 - Jun Guo, Norikazu Takahashi, Tetsuo Nishi:
A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression. 827-836 - Pilsung Kang, Sungzoon Cho:
EUS SVMs: Ensemble of Under-Sampled SVMs for Data Imbalance Problems. 837-846 - Jingmin Wang, Guoqiao Ren:
A Improved SVM and Its Using in Electric Power System Load Forecasting. 847-855 - Qinzhen Xu, Wenjiang Pei, Luxi Yang, Zhenya He:
Support Vector Machine Tree Based on Feature Selection. 856-863 - Sung-Hae Jun, Kyung-Whan Oh:
A Competitive Co-evolving Support Vector Clustering. 864-873 - Zonghai Sun:
Fuzzy Probability C-Regression Estimation Based on Least Squares Support Vector Machine. 874-881 - Jilin Yang, Hong Peng, Zheng Pei:
Filtering E-Mail Based on Fuzzy Support Vector Machines and Aggregation Operator. 882-891 - Jian Cheng, Jian-Sheng Qian, Yi-Nan Guo:
A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction. 892-899 - Jiancheng Sun, Yatong Zhou, Yaohui Bai, Jianguo Luo:
Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines. 900-906
Self-Organizing Map
- Takeshi Yamakawa, Keiichi Horio, Masaharu Hoshino:
Self-Organizing Map with Input Data Represented as Graph. 907-914 - Arthur L. Hsu, Saman K. Halgamuge:
Semi-supervised Learning of Dynamic Self-Organising Maps. 915-924 - Ryotaro Kamimura:
Self-organizing by Information Maximization: Realizing Self-Organizing Maps by Information-Theoretic Competitive Learning. 925-934 - Shuhei Nishida, Kazuo Ishii, Tetsuo Furukawa:
An Online Adaptation Control System Using mnSOM. 935-942 - Tetsuo Furukawa, Kazuhiro Tokunaga:
Generalization of the Self-Organizing Map: From Artificial Neural Networks to Artificial Cortexes. 943-949 - Tetsuo Furukawa:
SOM of SOMs: An Extension of SOM from 'Map' to 'Homotopy'. 950-957 - Kazuhiro Tokunaga, Tetsuo Furukawa:
Modular Network SOM: Theory, Algorithm and Applications. 958-967 - Takeshi Yamakawa, Keiichi Horio, Takahiro Tanaka:
Evaluation-Based Topology Representing Network for Accurate Learning of Self-Organizing Relationship Network. 968-977 - Yuexian Hou, Gong Kefei, Pilian He:
Adaptively Incremental Self-organizing Isometric Embedding. 978-986 - Shuzhong Yang, Siwei Luo, Jianyu Li:
An Extended Model on Self-Organizing Map. 987-994 - Manuel Martín-Merino, Jesus Román:
A New SOM Algorithm for Electricity Load Forecasting. 995-1003 - Tetsunari Oshime, Toshimichi Saito, Hiroyuki Torikai:
ART-Based Parallel Learning of Growing SOMs and Its Application to TSP. 1004-1011 - Cheng-Yuan Liou, Yen-Ting Kuo, Jau-Chi Huang:
Smooth Seamless Surface Construction Based on Conformal Self-organizing Map. 1012-1021 - Lijuan Huang:
Consumer's Purchasing Behavior Analysis Based on the Self-Organizing Feature Map Neural Network Algorithm in E-Supply Chain. 1022-1029 - Shiyuan Liu, Li Lu, Guanglan Liao, Jianping Xuan:
Pattern Discovery from Time Series Using Growing Hierarchical Self-Organizing Map. 1030-1037
Independent Component Analysis and Blind Source Separation
- Zhaoshui He, Andrzej Cichocki, Shengli Xie:
K-Hyperplanes Clustering and Its Application to Sparse Component Analysis. 1038-1047 - Ingo R. Keck, Jan Churan, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Carlos García Puntonet:
Region of Interest Based Independent Component Analysis. 1048-1057 - Qinghua Huang, Jie Yang, Yue Zhou:
Variational Bayesian Method for Temporally Correlated Source Separation. 1058-1067 - Hao Shen, Knut Hüper, Alexander J. Smola:
Newton-Like Methods for Nonparametric Independent Component Analysis. 1068-1077 - Chan-Cheng Liu, Tsung-Ying Sun, Sheng-Ta Hsieh, Chun-Ling Lin, Kan-Yuan Lee:
A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural Network. 1078-1087 - Tahir Rasheed, Myung Ho In, Young-Koo Lee, Sungyoung Lee, Soo Yeol Lee, Tae-Seong Kim:
Constrained ICA Based Ballistocardiogram and Electro-Oculogram Artifacts Removal from Visual Evoked Potential EEG Signals Measured Inside MRI. 1088-1097 - Mao Ye, Xuqian Fan, Qihe Liu:
Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold. 1098-1106 - Fasong Wang, Hongwei Li, Rui Li:
Exterior Penalty Function Method Based ICA Algorithm for Hybrid Sources Using GKNN Estimation. 1107-1116 - Yinghong Luo, Caixia Tao, Xiaohu Qiang, Xiang-Yan Zeng:
Denoising by Anisotropic Diffusion of Independent Component Coefficients. 1117-1124 - Beihai Tan, Xiaolu Li:
Blind Separation of Digital Signal Sources in Noise Circumstance. 1125-1132 - Chandra Shekhar Dhir, Hyung-Min Park, Soo-Young Lee:
Performance Evaluation of Directionally Constrained Filterbank ICA on Blind Source Separation of Noisy Observations. 1133-1142 - Chi-Fai Lo, T. K. Chung:
First Passage Time Problem for the Ornstein-Uhlenbeck Neuronal Model. 1155-1164
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