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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
, 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