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ORCID11th 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, P. S. Prashanth, V. S. Chakravarthy:
The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning. 70-77 - Kazuhisa Fujita, Eigo Kamata, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara:
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, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar:
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, Xiaopeng Wei, Jin Xu, Dongsheng Zhou:
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, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu:
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, Pabitra Mitra, Afzel Noore:
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, Tatyana Baidyk:
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, Ulf Johansson, Lars Niklasson:
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, R. Kumaraswamy, B. Yegnanarayana:
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, Teresa Bernarda Ludermir:
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, Ganapatsingh G. Rajput:
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, Valéria Maria S. Bezerra, Fernanda M. Souza, Manuel F. Gomes Junior:
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, Satish Kumar:
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, Nikola K. Kasabov, Susan P. Worner, Lora Peacock:
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, Kai-An Wang, Bao-Liang Lu:
Feature Selection for Fast Image Classification with Support Vector Machines. 1026-1031 - Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
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, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis:
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, Sang-Hoon Oh, Soo-Young 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, Arlindo Silva, Tiago Ferra de Sousa, Michael O'Neill, Robin Matthews, Ernesto Costa:
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, Sunitha 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, Kyoung Jun Lee, Hyun-jung Kim:
Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and Its Contingency. 1254-1259 - Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu:
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, Sung-Hoe Huh, Gwi-Tae Park:
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, Ken-Li Lin, Chih-Hsien Yang, I-Fang Chung, Chuen-Der Huang, Yuh-Shyong Yang:
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, Igor Sidorov, Dimiter S. Dimitrov:
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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