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11th ICONIP 2004: Calcutta, India
- Nikhil R. Pal, Nikola K. Kasabov, Rajani K. Mudi, Srimanta Pal, Swapan K. Parui:
Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings. Lecture Notes in Computer Science 3316, Springer 2004, ISBN 3-540-23931-6
Computational Neuroscience
- Walter J. Freeman:
Neurobiological Foundation for the Meaning of Information. 1-9 - Rolf Eckmiller, Oliver Baruth, Dirk Neumann:
Neural Information Processing Efforts to Restore Vision in the Blind. 10-18 - Katsuki Katayama, Masafumi Yano, Tsuyoshi Horiguchi:
Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons. 19-30 - Shuichi Kato, Seiichi Sakatani, Akira Hirose:
Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density. 31-36 - Toshikazu Samura, Motonobu Hattori:
Memory Modification Induced by Pattern Completion and STDP in Hippocampal CA3 Model. 37-43 - Kazuhisa Fujita
, ShungQuang Huang, Yoshiki Kashimori, Takeshi Kambara:
Neural Mechanism of Binding ITD Information with IID One for Generating Brain Map of Sound Localization. 44-49 - Seiichi Sakatani, Akira Hirose:
The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential. 50-56 - Basabi Bhaumik, Alok Agarwal, Mona Mathur, Manish Manohar:
A Model That Captures Receptive Field Properties of Orientation Selective Neurons in the Visual Cortex. 57-63 - Akhil Ranjan Garg, Basabi Bhaumik, Klaus Obermayer:
Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions. 64-69 - Sridharan Devarajan
The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning. 70-77 - Kazuhisa Fujita
A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat. 78-83 - Mona Mathur, Basabi Bhaumik:
Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model. 84-89 - Akhil Ranjan Garg, Basabi Bhaumik, Klaus Obermayer:
The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning. 90-95 - Prasun Kumar Roy:
Stochastic Resonance Imaging - Stochastic Resonance Therapy: Preliminary Studies Considering Brain as Stochastic Processor. 96-103
Complex-Valued Neural Networks
- Andriyan Bayu Suksmono, Akira Hirose:
Ultra-wideband Beamforming by Using a Complex-Valued Spatio-temporal Neural Network. 104-109 - Mitsuo Yoshida, Yasuaki Kuroe, Takehiro Mori:
A Model of Hopfield-Type Quaternion Neural Networks and Its Energy Function. 110-115 - Akira Hirose, Yasufumi Asano, Toshihiko Hamano:
Mode-Utilizing Developmental Learning Based on Coherent Neural Networks. 116-121 - Ikuko Nishikawa, Yasuaki Kuroe:
Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System. 122-129 - Iku Nemoto:
Two Models for Theta Precession Generation Using the Complex Version of the Nagumo-Sato Neuron Model and the Hodgkin-Huxley Equations. 130-135
Self-organizing Maps
- Miki Sirola, Golan Lampi, Jukka Parviainen:
Using Self-organizing Map in a Computerized Decision Support System. 136-141 - Arijit Laha:
An Empirical Study on the Robustness of SOM in Preserving Topology with Respect to Link Density. 142-149 - Manuel Martín-Merino, Alberto Muñoz:
Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick. 150-157 - Mahmoud F. Hussin, Mohamed S. Kamel, Magdy H. Nagi:
An Efficient Two-Level SOMART Document Clustering Through Dimensionality Reduction. 158-165 - Kwang-Baek Kim, Dae Su Kim:
Color Image Vector Quantization Using Wavelet Transform and Enhanced Self-organizing Neural Network. 166-171 - Sampsa Laine, Timo Similä:
Using SOM-Based Data Binning to Support Supervised Variable Selection. 172-180
Evolutionary Computation
- A. K. Bhatia, Sandip K. Basu:
Packing Bins Using Multi-chromosomal Genetic Representation and Better-Fit Heuristic. 181-186 - Mukesh A. Zaveri, Shabbir N. Merchant, Uday B. Desai:
Data Association for Multiple Target Tracking: An Optimization Approach. 187-192 - Nilanjan Banerjee, Rajeev Kumar:
Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-boolean Functions. 193-198 - Paulito P. Palmes, Shiro Usui:
The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution. 199-204 - Holger Mauch:
Closest Substring Problem - Results from an Evolutionary Algorithm. 205-211 - André Vargas Abs da Cruz, Carlos R. Hall Barbosa, Marco Aurélio Cavalcanti Pacheco, Marley M. B. R. Vellasco:
Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems. 212-217 - Rajeev Kumar, Pramod Kumar Singh, P. P. Chakrabarti:
Multiobjective Genetic Search for Spanning Tree Problem. 218-223 - Maojun Li, Shaosheng Fan, An Luo:
A Partheno-genetic Algorithm for Combinatorial Optimization. 224-229 - Jing J. Liang
Evaluation of Comprehensive Learning Particle Swarm Optimizer. 230-235 - Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection. 236 - Uday Kumar Chakraborty:
Gray and Binary Encoding in the (1+1)-EA. 242
Control Systems
- Qiang Zhang
Asymptotic Stability of Nonautonomous Delayed Neural Networks. 248-253 - Zafer Bingul
A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay. 254-260 - Yasuaki Kuroe:
Representation and Identification of Finite State Automata by Recurrent Neural Networks. 261-268 - Andon V. Topalov, Okyay Kaynak:
Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning. 269-274 - S. Kumar Chenna, Yogesh Kr. Jain, Himanshu Kapoor, Raju S. Bapi, Narri Yadaiah, Atul Negi
State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks. 275-281
Cognitive Science
- Shohei Hidaka, Jun Saiki:
A Connectionist Account of Ontological Boundary Shifting. 282-287 - Tadashi Yamazaki, Shigeru Tanaka:
A Neural Network Model for Trace Conditioning. 288-293 - Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya:
Chunking Phenomenon in Complex Sequential Skill Learning in Humans. 294-299 - Ayako Onzo, Ken Mogi:
Cognitive Process of Emotion Under Uncertainty. 300-305 - Kichun Nam, Yoonhyong Lee, Chang H. Lee:
The Locus of Word Length and Frequency Effect in Comprehending English Words by Korean-English Bilinguals and Americans. 306-315 - Choong-Myung Kim, Donghoon Lee, Kichun Nam:
Cerebral Activation Areas with Respect to Word and Sentence Production by Early and Late Korean-English Bilinguals: Event-Related fMRI Study. 316-320
Biometrics
- Byungjun Son, Sungsoo Yoon, Yillbyung Lee:
Fusion of Dimension Reduction Methods and Application to Face Recognition. 321-326 - Chakka Siva Sai Prasanna, N. Sudha, V. Kamakoti:
A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN. 327-332 - Hemant A. Patil, T. K. Basu:
The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment. 333-337 - R. Suguna, N. Sudha, C. Chandra Sekhar:
A Fast and Efficient Face Detection Technique Using Support Vector Machine. 338-343 - Youn-Hee Gil, Dosung Ahn, Choonwoo Ryu, Sung Bum Pan, Yongwha Chung:
User Enrollment Using Multiple Snapshots of Fingerprint. 344-349 - Mayank Vatsa, Richa Singh
Signature Verification Using Static and Dynamic Features. 350-355 - Masakazu Matsugu, Katsuhiko Mori, Takashi Suzuki:
Face Recognition Using SVM Combined with CNN for Face Detection. 356-361 - A. Pavan Kumar, Sukhendu Das, V. Kamakoti:
Face Recognition Using Weighted Modular Principle Component Analysis. 362-367
Adaptive Intelligent Systems
- Takanori Koga, Keiichi Horio, Takeshi Yamakawa:
Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control. 368-374 - Akbar Ghobakhlou, Richard Kilgour:
In-vehicle Noise and Enhanced Speech Intelligibility. 375-380 - Akbar Ghobakhlou, David Zhang, Nikola K. Kasabov:
An Evolving Neural Network Model for Person Verification Combining Speech and Image. 381-386 - Hideaki Kawano, Keiichi Horio, Takeshi Yamakawa:
Adaptive Affine Subspace Self-organizing Map with Kernel Method. 387-392
Brain-Like Computing
- Masayasu Atsumi:
Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability. 393-398 - Andrzej Buller, Ismail Ahson, Muzaffar Azim:
Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic. 399-408 - Akitoshi Ogawa, Takashi Omori:
Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks. 409-415 - Michal Joachimczak, Beata J. Grzyb, Daniel Jelinski:
Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks. 416-421 - JeongYon Shim:
Knowledge Extraction from Artificial Associative Memory for Helping Senile Dementia Patients. 422-427
Learning Algorithms
- Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
Some Experiments on Training Radial Basis Functions by Gradient Descent. 428-433 - Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi:
Predictive Approaches for Sparse Model Learning. 434-439 - Abdelhamid Bouchachia:
Multiple Instance Learning with Radial Basis Function Neural Networks. 440-445 - Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Leverages Based Neural Networks Fusion. 446-451 - Alexander V. Goltsev, Ernst M. Kussul
A Process of Differentiation in the Assembly Neural Network. 452-457 - L. Andrew Coward, Tamás D. Gedeon, Uditha Ratnayake:
Managing Interference Between Prior and Later Learning. 458-464 - M. Shahjahan, Kazuyuki Murase:
A Neural Learning Rule for CCA Approximation. 465-470 - T. N. Nagabhushan, S. K. Padma:
Adaptive Learning in Incremental Learning RBF Networks. 471-476 - Xiangrui Wang, Narendra S. Chaudhari:
Recurrent Neural Networks for Learning Mixed kth-Order Markov Chains. 477-482 - Carmine Di Fiore, Stefano Fanelli, Paolo Zellini:
An Efficient Generalization of Battiti-Shanno's Quasi-Newton Algorithm for Learning in MLP-Networks. 483-488 - Koichiro Yamauchi:
Incremental Learning and Dimension Selection Through Sleep. 489-495 - Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
The Most Robust Loss Function for Boosting. 496-501 - Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori:
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. 502-507 - Xubo B. Song, Kun Yang, Misha Pavel:
Density Boosting for Gaussian Mixtures. 508-515 - Heui-Seok Lim:
Improving kNN Based Text Classification with Well Estimated Parameters. 516-523 - Ryotaro Kamimura:
One-Epoch Learning for Supervised Information-Theoretic Competitive Learning. 524-529 - Ryotaro Kamimura:
Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions. 530-536 - Mohammad Tanvir Islam, Yoichi Okabe:
Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model. 537-542 - Felix V. Agakov, David Barber:
Variational Information Maximization for Neural Coding. 543-548 - Daniel Osman, Jacek Mandziuk:
Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain. 549-554 - Tuve Löfström
Rule Extraction by Seeing Through the Model. 555-560 - Felix V. Agakov, David Barber:
An Auxiliary Variational Method. 561-566 - Ramunas Girdziusas, Jorma Laaksonen
Gaussian Process Regression with Fluid Hyperpriors. 567-572 - Ron Sun, Dehu Qi:
Learning Team Cooperation. 573-578 - Yan Wang, Chunguang Zhou, Yanxin Huang, Xiaoyue Feng:
Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization. 579-584 - Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm. 585-591 - Masato Ito, Jun Tani:
Generalization in Learning Multiple Temporal Patterns Using RNNPB. 592-598 - Basabi Chakraborty, Yusuke Manabe:
Structural Learning of Neural Network for Continuous Valued Output: Effect of Penalty Term to Hidden Units. 599-605 - Artur S. d'Avila Garcez, Dov M. Gabbay, Luís C. Lamb
Argumentation Neural Networks. 606-612 - Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir:
A Neighbor Generation Mechanism Optimizing Neural Networks. 613-618 - Saulat Farooque, Ajith Abraham, Lakhmi C. Jain:
Collaborative Agent Learning Using Neurocomputing. 619-624
Novel Neural Networks
- Erol Gelenbe:
Cognitive Routing in Packet Networks. 625-632 - Qun Song, Nikola K. Kasabov:
TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. 633-640 - Furao Shen, Osamu Hasegawa:
An Incremental Neural Network for Non-stationary Unsupervised Learning. 641-646 - Amitava Datta, Srimanta Pal:
Computing Convex-Layers by a Multi-layer Self-organizing Neural Network. 647-652 - Ryotaro Kamimura, Osamu Uchida:
Cost-Sensitive Greedy Network-Growing Algorithm with Gaussian Activation Functions. 653-658
Image Processing
- P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan:
An Efficient Skew Estimation Technique for Binary Document Images Based on Boundary Growing and Linear Regression Analysis. 659-665 - Jieyu Zhao:
Segmenting Moving Objects with a Recurrent Stochastic Neural Network. 666-672 - Kang Ryoung Park:
Real-Time Gaze Detection via Neural Network. 673-678 - Chandrama Shaw, Biplab K. Sikdar, N. C. Maiti:
CA Based Document Compression Technology. 679-685 - Motofumi Fukui, Noriji Kato, Hitoshi Ikeda, Hirotsugu Kashimura:
Size-Independent Image Segmentation by Hierarchical Clustering and Its Application for Face Detection. 686-693 - Sang-Bok Choi, Sang-Woo Ban, Minho Lee:
Human-Like Selective Attention Model with Reinforcement and Inhibition Mechanism. 694-699 - Santi P. Maity, Malay Kumar Kundu, Prasanta Kumar Nandi:
Genetic Algorithm for Optimal Imperceptibility in Image Communication Through Noisy Channel. 700-705 - Moon-sung Park, Il-sook Kim, Eun-kyung Cho, Young-hee Kwon:
High Speed Extraction Model of ROI for Automatic Logistics System. 706-713 - Chi-Hang Chan, Irwin King
Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map. 714-719 - Shiguo Lian, Jinsheng Sun, Zhongxin Li, Zhiquan Wang:
A Fast MPEG4 Video Encryption Scheme Based on Chaotic Neural Network. 720-725 - Vakkalanka Suresh, C. Krishna Mohan
Content-Based Video Classification Using Support Vector Machines. 726-731 - Hyo Sun Yoon, Gueesang Lee, Soo-Hyung Kim, Deokjai Choi:
Fast Half Pixel Motion Estimation Based on Spatio-temporal Correlations. 732-737
Pattern Recognition
- T. Kalyani, V. Rajkumar Dare, D. Gnanaraj Thomas:
Local and Recognizable Iso Picture Languages. 738-743 - Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
Multilayer Feedforward Ensembles for Classification Problems. 744-749 - Xubo B. Song, Misha Pavel:
Performance Advantage of Combined Classifiers in Multi-category Cases: An Analysis. 750-757 - Renato Fernandes Corrêa
Web Documents Categorization Using Neural Networks. 758-762 - Samarasena Buchala, Neil Davey, Ray J. Frank, Tim M. Gale, Martin J. Loomes, Wanida Kanargard:
Gender Classification of Face Images: The Role of Global and Feature-Based Information. 763-768 - Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza:
Classification of SAR Images Through a Convex Hull Region Oriented Approach. 769-774 - Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Fabio C. D. Silva:
Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances. 775-780 - Subhadip Basu, Chitrita Chaudhuri, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
A Two-Pass Approach to Pattern Classification. 781-786 - Pradeep Kumar Shetty:
A Long Memory Process Based Parametric Modeling and Recognition of PD Signal. 787-793 - Rinku Panchal, Brijesh K. Verma:
A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns. 794-799 - K. R. Sivaramakrishnan, Chiranjib Bhattacharyya:
Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach. 800-805 - Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriganesh Madhvanath:
Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers. 806-813 - Tapan Kumar Bhowmik, Ujjwal Bhattacharya, Swapan K. Parui:
Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features. 814-819 - Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriganesh Madhvanath:
Elastic Matching Algorithms for Online Tamil Character Recognition. 820-826 - Heuiseok Lim, Hyeoncheol Kim:
Automated Classification of Industry and Occupation Codes Using Document Classification Method. 827-833 - P. S. Hiremath, B. V. Dhandra, Ravindra S. Hegadi
Abnormality Detection in Endoscopic Images Using Color Segmentation and Curvature Computation. 834-841 - Bin Huang, Bao-Liang Lu
Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network. 842-847 - Pradipta Maji, Parimal Pal Chaudhuri:
Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining. 848-853 - Anne M. P. Canuto, Araken M. Santos, Márjory C. C. Abreu
Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks. 854-859 - Manuel Martín-Merino, Alberto Muñoz:
A New MDS Algorithm for Textual Data Analysis. 860-867
Neuroinformatics
- Deepak Mishra, Abhishek Yadav, Prem Kumar Kalra:
Chaotic Behavior in Neural Networks and FitzHugh-Nagumo Neuronal Model. 868-873 - Lipo Wang:
Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore. 874-879 - Akira Sato, Noriyuki Morita, Tetsushi Sadakata, Fumio Yoshikawa, Yoko Shiraishi-Yamaguchi, JinHong Huang, Satoshi Shoji, Mineko Tomomura, Yumi Sato, Emiko Suga, Yukiko Sekine, Aiko Kitamura, Yasuyuki Shibata, Teiichi Furuichi
Deciphering the Genetic Blueprint of Cerebellar Development by the Gene Expression Profiling Informatics. 880-884 - Soo-Young Lee:
Korean Neuroinformatics Research Program: From the Second Phase to the Third Phase. 885-890 - Prasun Kumar Roy, Nandini Chatterjee Singh:
A Guided Tour of Neuroinformatics Research in India. 891-897
Fuzzy Systems
- Daming Shi, Atul Harkisanka, Hiok Chai Quek
CMAC with Fuzzy Logic Reasoning. 898-903 - Bijay Baran Pal, Animesh Biswas:
A Fuzzy Multilevel Programming Method for Hierarchical Decision Making. 904-911 - Wlodzislaw Duch, Marcin Blachnik
Fuzzy Rule-Based Systems Derived from Similarity to Prototypes. 912-917 - Vadim Borisov, Alexander S. Fedulov:
Generalized Rule-Based Fuzzy Cognitive Maps: Structure and Dynamics Model. 918-922 - Sharmistha Panda, Sarat Kumar Patra:
Development of Adaptive Fuzzy Based Multi-user Detection Receiver for DS-CDMA. 923-928 - Marcelo Andrade Teixeira, Gerson Zaverucha:
A Partitioning Method for Fuzzy Probabilistic Predictors. 929-934 - Gunjan, Biswanath N. Chatterji:
Fuzzy Compactness Based Adaptive Window Approach for Image Matching in Stereo Vision. 935-940
Neuro-fuzzy Systems
- Prasanna Lokuge, Damminda Alahakoon:
BDI Agents Using Neural Network and Adaptive Neuro Fuzzy Inference for Intelligent Planning in Container Terminals. 941-946 - Zaheeruddin, Garima:
A Neuro-fuzzy Approach for Predicting the Effects of Noise Pollution on Human Work Efficiency. 947-952 - Cleber Zanchettin, Teresa Bernarda Ludermir:
Evolving Fuzzy Neural Networks Applied to Odor Recognition. 953-958 - C. Shunmuga Velayutham
Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network. 959-964 - Manish Manori A., Manish Maheshwari, Kuldeep Belawat, Sanjeev Jain, P. K. Chande:
Neuro-fuzzy System for Clustering of Video Database. 965-970 - Snjezana Soltic, Shaoning Pang
Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. 971-976 - Kwang-Baek Kim, Choong Shik Park:
An Enhanced Fuzzy Multilayer Perceptron. 977-982
Hybrid Systems
- Siva S. Sivatha Sindhu, P. Ramasubramanian, Arputharaj Kannan:
Intelligent Multi-agent Based Genetic Fuzzy Ensemble Network Intrusion Detection. 983-988 - Jyh-Yeong Chang, Chien-Wen Cho, Su-Hwang Hsieh, Shi-Tsung Chen:
Genetic Algorithm Based Fuzzy ID3 Algorithm. 989-995 - Ricardo Matsumura de Araújo, Luís C. Lamb
Neural-Evolutionary Learning in a Bounded Rationality Scenario. 996-1001 - Yi Xu, Narendra S. Chaudhari:
Rule Extraction Framework Using Rough Sets and Neural Networks. 1002-1007 - A. K. Chakraborty, P. Guha, B. Chattopadhyay, Srimanta Pal, J. Das:
A Fusion Neural Network for Estimation of Blasting Vibration. 1008-1013
Feature Analysis
- E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
Nonlinear Feature Extraction Using Evolutionary Algorithm. 1014-1019 - Srilatha Chebrolu, Ajith Abraham, Johnson P. Thomas:
Hybrid Feature Selection for Modeling Intrusion Detection Systems. 1020-1025 - Zhi-Gang Fan, Kaian Wang, Bao-Liang Lu
Feature Selection for Fast Image Classification with Support Vector Machines. 1026-1031 - Renato Fernandes Corrêa
Dimensionality Reduction by Semantic Mapping in Text Categorization. 1032-1037 - Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee:
Non-linear Dimensionality Reduction by Locally Linear Isomaps. 1038-1043
Independent Component Analysis
- Erkki Oja:
Applications of Independent Component Analysis. 1044-1051 - Manabu Kotani, Hiroki Takabatake, Seiichi Ozawa:
Supervised Independent Component Analysis with Class Information. 1052-1057 - Dimitris Glotsos
Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image Classification. 1058-1063 - Liqing Zhang:
Temporal Independent Component Analysis for Separating Noisy Signals. 1064-1069 - Jong-Hwan Lee
Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model. 1070-1075 - Chandra Shekhar Dhir, Hyung-Min Park, Soo-Young Lee:
Permutation Correction of Filter Bank ICA Using Static Channel Characteristics. 1076-1081
Ant Colony
- Nadia Nedjah, Luiza de Macedo Mourelle
Minimal Addition-Subtraction Chains with Ant Colony. 1082-1087 - Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka
TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies. 1088-1093 - Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. 1094-1100 - Siok Lan Ong, Weng-Kin Lai, Tracy S. Y. Tai, Choo Hau Ooi, Kok Meng Hoe:
Investigations into the Use of Supervised Multi-agents for Web Documents Categorization. 1101-1109 - Anthony Brabazon
OrgSwarm - A Particle Swarm Model of Organizational Adaptation. 1110-1116
Neural Network Hardware
- Hidehiro Nakano, Toshimichi Saito:
Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks. 1117-1122 - Hiroshi Hamanaka, Hiroyuki Torikai, Toshimichi Saito:
A Spiking Oscillator with Quantized State and Its Pulse Coding Characteristics. 1123-1128 - Jae Woo Wee, Chong Ho Lee:
Concurrent Support Vector Machine Processor for Disease Diagnosis. 1129-1134
Robotics
- Yasuo Matsuyama, Satoshi Yoshinaga, Hirofumi Okuda, Keisuke Fukumoto, Satoshi Nagatsuma, Kazuya Tanikawa, Hiroto Hakui, Ryusuke Okuhara, Naoto Katsumata:
Towards the Unification of Human Movement, Animation and Humanoid in the Network. 1135-1141 - Shubao Liu, Jun Wang
A Dual Neural Network for Bi-criteria Torque Optimization of Redundant Robot Manipulators. 1142-1147 - Keiji Kamei, Masumi Ishikawa:
A Genetic Approach to Optimizing the Values of Parameters in Reinforcement Learning for Navigation of a Mobile Robot. 1148-1153 - Artur M. Arsénio:
On the Use of Cognitive Artifacts for Developmental Learning in a Humanoid Robot. 1154-1159 - J. K. Mukherjee:
Visual Servo Control for Intelligent Guided Vehicle. 1160-1165
Signal Processing
- Tetsuya Tsukada, Yoshifumi Sekine:
A Basilar Membrane Model Using Simulink for Hearing-Aid Systems. 1166-1171 - Rajesh M. Hegde, Hema A. Murthy:
Cluster and Intrinsic Dimensionality Analysis of the Modified Group Delay Feature for Speaker Classification. 1172-1178 - K. Sreenivasa Rao, S. R. Mahadeva Prasanna, B. Yegnanarayana:
Two-Stage Duration Model for Indian Languages Using Neural Networks. 1179-1185 - Bin Xia, Liqing Zhang:
Multichannel Blind Deconvolution of Non-minimum Phase System Using Cascade Structure. 1186-1191 - Goutam Saha, Pankaj Kumar, Sandipan Chakroborty:
A Comparative Study of Feature Extraction Algorithms on ANN Based Speaker Model for Speaker Recognition Applications. 1192-1197 - Debi Prasad Das, Ganapati Panda, Sanghamitra Sabat:
Development of FLANN Based Multireference Active Noise Controllers for Nonlinear Acoustic Noise Processes. 1198-1203 - P. Prajith, N. S. Sreekanth, N. K. Narayanan:
Phase Space Parameters for Neural Network Based Vowel Recognition. 1204-1209 - N. Dhananjaya, S. Guruprasad, B. Yegnanarayana:
Speaker Segmentation Based on Subsegmental Features and Neural Network Models. 1210-1215
Support Vector Machine
- Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. 1216-1222 - Yasushi Kikawa, Koji Oguri:
A Study for Excluding Incorrect Detections of Holter ECG Data Using SVM. 1223-1228 - Daoqiang Zhang, Keren Tan, Songcan Chen:
Semi-supervised Kernel-Based Fuzzy C-Means. 1229-1234 - Yo Horikawa:
Use of Autocorrelation Kernels in Kernel Canonical Correlation Analysis for Texture Classification. 1235-1240 - Anurag Sahajpal, Terje Kristensen, Gaurav Kumar:
Phoneme Transcription by a Support Vector Machine. 1241-1246 - Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines. 1247-1253 - Kyung-shik Shin
Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and Its Contingency. 1254-1259 - Haiqin Yang, Kaizhu Huang
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. 1260-1265 - D. Srikrishna Satish, C. Chandra Sekhar:
Kernel Based Clustering for Multiclass Data. 1266-1272 - Ha-Nam Nguyen, Syng-Yup Ohn, Woo-Jin Choi:
Combined Kernel Function for Support Vector Machine and Learning Method Based on Evolutionary Algorithm. 1273-1278
Time Series Prediction
- Alexander I. Galushkin, A. S. Katsin, Svetlana V. Korobkova, Lev S. Kuravsky:
Neural Network Classification Algorithm for the Small Size Training Set Situation in the Task of Thin-Walled Constructions Fatigue Destruction Control. 1279-1284 - Ryali Srikanth, R. Muralishankar, A. G. Ramakrishnan:
Wavelet-Based Estimation of Hemodynamic Response Function. 1285-1291 - Huaien Luo, Sadasivan Puthusserypady:
Neural Networks for fMRI Spatio-temporal Analysis. 1292-1297 - Dongwon Kim
Modeling Corrupted Time Series Data via Nonsingleton Fuzzy Logic System. 1298-1303
Bioinformatics
- Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
Hydrological Forecasting and Updating Procedures for Neural Network. 1304-1309 - Ranjith Vasireddy, Somenath Biswas:
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets. 1310-1315 - Chin-Teng Lin
Protein Metal Binding Residue Prediction Based on Neural Networks. 1316-1321 - Musa Alci, Musa H. Asyali:
Assessment of Reliability of Microarray Data Using Fuzzy C-Means Classification. 1322-1327 - Horia-Nicolai L. Teodorescu, Lucian Iulian Fira:
DNA Sequence Pattern Identification Using a Combination of Neuro-Fuzzy Predictors. 1328-1333 - Jae-Hong Eom, Seong-Bae Park, Byoung-Tak Zhang:
Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). 1334-1343 - Nikola K. Kasabov, Zeke S. H. Chan, Vishal Jain
Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach. 1344-1353 - Karmeshu, A. Krishnamachari:
Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective. 1354-1361
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