11. ICONIP 2004:
Calcutta,
India
Nikhil R. Pal, Nikola Kasabov, Rajani K. Mudi, Srimanta Pal, Swapan K. Parui (Eds.):
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 BibTeX
Computational Neuroscience
- Walter J. Freeman:
Neurobiological Foundation for the Meaning of Information.
1-9
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- Rolf Eckmiller, Oliver Baruth, Dirk Neumann:
Neural Information Processing Efforts to Restore Vision in the Blind.
10-18
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- Katsuki Katayama, Masafumi Yano, Tsuyoshi Horiguchi:
Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons.
19-30
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- Shuichi Kato, Seiichi Sakatani, Akira Hirose:
Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density.
31-36
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- Toshikazu Samura, Motonobu Hattori:
Memory Modification Induced by Pattern Completion and STDP in Hippocampal CA3 Model.
37-43
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- 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
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- Seiichi Sakatani, Akira Hirose:
The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential.
50-56
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- 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
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- Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer:
Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions.
64-69
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- 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
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- 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
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- Mona Mathur, Basabi Bhaumik:
Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model.
84-89
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- Akhil R. 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
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- Prasun Kumar Roy:
Stochastic Resonance Imaging - Stochastic Resonance Therapy: Preliminary Studies Considering Brain as Stochastic Processor.
96-103
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Complex-Valued Neural Networks
Self-organizing Maps
Evolutionary Computation
- A. K. Bhatia, Sandip K. Basu:
Packing Bins Using Multi-chromosomal Genetic Representation and Better-Fit Heuristic.
181-186
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- Mukesh A. Zaveri, Shabbir N. Merchant, Uday B. Desai:
Data Association for Multiple Target Tracking: An Optimization Approach.
187-192
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- Nilanjan Banerjee, Rajeev Kumar:
Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-boolean Functions.
193-198
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- Paulito P. Palmes, Shiro Usui:
The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution.
199-204
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- Holger Mauch:
Closest Substring Problem - Results from an Evolutionary Algorithm.
205-211
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- André V. Abs da Cruz, Carlos R. Hall Barbosa, Marco Aurélio Cavalcanti Pacheco, Marley B. R. Vellasco:
Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems.
212-217
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- Rajeev Kumar, Pramod Kumar Singh, P. P. Chakrabarti:
Multiobjective Genetic Search for Spanning Tree Problem.
218-223
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- Maojun Li, Shaosheng Fan, An Luo:
A Partheno-genetic Algorithm for Combinatorial Optimization.
224-229
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- Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar:
Evaluation of Comprehensive Learning Particle Swarm Optimizer.
230-235
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- Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho:
Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection.
236
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- Uday Kumar Chakraborty:
Gray and Binary Encoding in the (1+1)-EA.
242
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Control Systems
- Qiang Zhang, Xiaopeng Wei, Jin Xu, Dongsheng Zhou:
Asymptotic Stability of Nonautonomous Delayed Neural Networks.
248-253
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- Zafer Bingul:
A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay.
254-260
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- Yasuaki Kuroe:
Representation and Identification of Finite State Automata by Recurrent Neural Networks.
261-268
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- Andon V. Topalov, Okyay Kaynak:
Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning.
269-274
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- 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
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Cognitive Science
- Shohei Hidaka, Jun Saiki:
A Connectionist Account of Ontological Boundary Shifting.
282-287
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- Tadashi Yamazaki, Shigeru Tanaka:
A Neural Network Model for Trace Conditioning.
288-293
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- Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya:
Chunking Phenomenon in Complex Sequential Skill Learning in Humans.
294-299
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- Ayako Onzo, Ken Mogi:
Cognitive Process of Emotion Under Uncertainty.
300-305
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- 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
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- 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
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Biometrics
- Byungjun Son, Sungsoo Yoon, Yillbyung Lee:
Fusion of Dimension Reduction Methods and Application to Face Recognition.
321-326
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- Chakka Siva Sai Prasanna, N. Sudha, V. Kamakoti:
A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN.
327-332
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- Hemant A. Patil, T. K. Basu:
The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment.
333-337
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- R. Suguna, N. Sudha, C. Chandra Sekhar:
A Fast and Efficient Face Detection Technique Using Support Vector Machine.
338-343
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- Youn-Hee Gil, Dosung Ahn, Choonwoo Ryu, Sung Bum Pan, Yongwha Chung:
User Enrollment Using Multiple Snapshots of Fingerprint.
344-349
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- Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore:
Signature Verification Using Static and Dynamic Features.
350-355
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- Masakazu Matsugu, Katsuhiko Mori, Takashi Suzuki:
Face Recognition Using SVM Combined with CNN for Face Detection.
356-361
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- A. Pavan Kumar, Sukhendu Das, V. Kamakoti:
Face Recognition Using Weighted Modular Principle Component Analysis.
362-367
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Adaptive Intelligent Systems
Brain-Like Computing
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
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- Shirish Krishnaj Shevade, S. Sundararajan, S. Sathiya Keerthi:
Predictive Approaches for Sparse Model Learning.
434-439
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- Abdelhamid Bouchachia:
Multiple Instance Learning with Radial Basis Function Neural Networks.
440-445
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- Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
Leverages Based Neural Networks Fusion.
446-451
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- Alexander V. Goltsev, Ernst M. Kussul, Tatyana Baidyk:
A Process of Differentiation in the Assembly Neural Network.
452-457
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- L. Andrew Coward, Tamás D. Gedeon, Uditha Ratnayake:
Managing Interference Between Prior and Later Learning.
458-464
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- M. Shahjahan, Kazuyuki Murase:
A Neural Learning Rule for CCA Approximation.
465-470
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- T. N. Nagabhushan, S. K. Padma:
Adaptive Learning in Incremental Learning RBF Networks.
471-476
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- Xiangrui Wang, Narendra S. Chaudhari:
Recurrent Neural Networks for Learning Mixed kth-Order Markov Chains.
477-482
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- Carmine Di Fiore, Stefano Fanelli, Paolo Zellini:
An Efficient Generalization of Battiti-Shanno's Quasi-Newton Algorithm for Learning in MLP-Networks.
483-488
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- Koichiro Yamauchi:
Incremental Learning and Dimension Selection Through Sleep.
489-495
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- Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
The Most Robust Loss Function for Boosting.
496-501
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- Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori:
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks.
502-507
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- Xubo B. Song, Kun Yang, Misha Pavel:
Density Boosting for Gaussian Mixtures.
508-515
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- Heui-Seok Lim:
Improving kNN Based Text Classification with Well Estimated Parameters.
516-523
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- Ryotaro Kamimura:
One-Epoch Learning for Supervised Information-Theoretic Competitive Learning.
524-529
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- Ryotaro Kamimura:
Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions.
530-536
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- M. Tanvir Islam, Yoichi Okabe:
Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model.
537-542
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- Felix V. Agakov, David Barber:
Variational Information Maximization for Neural Coding.
543-548
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- Daniel Osman, Jacek Mandziuk:
Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain.
549-554
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- Tuve Löfström, Ulf Johansson, Lars Niklasson:
Rule Extraction by Seeing Through the Model.
555-560
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- Felix V. Agakov, David Barber:
An Auxiliary Variational Method.
561-566
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- Ramunas Girdziusas, Jorma Laaksonen:
Gaussian Process Regression with Fluid Hyperpriors.
567-572
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- Ron Sun, Dehu Qi:
Learning Team Cooperation.
573-578
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- Yan Wang, Chunguang Zhou, Yanxin Huang, Xiaoyue Feng:
Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization.
579-584
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- Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm.
585-591
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- Masato Ito, Jun Tani:
Generalization in Learning Multiple Temporal Patterns Using RNNPB.
592-598
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- Basabi Chakraborty, Yusuke Manabe:
Structural Learning of Neural Network for Continuous Valued Output: Effect of Penalty Term to Hidden Units.
599-605
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- Artur S. d'Avila Garcez, Dov M. Gabbay, Luís C. Lamb:
Argumentation Neural Networks.
606-612
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- Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir:
A Neighbor Generation Mechanism Optimizing Neural Networks.
613-618
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- Saulat Farooque, Ajith Abraham, Lakhmi C. Jain:
Collaborative Agent Learning Using Neurocomputing.
619-624
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Novel Neural Networks
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
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- Jieyu Zhao:
Segmenting Moving Objects with a Recurrent Stochastic Neural Network.
666-672
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- Kang Ryoung Park:
Real-Time Gaze Detection via Neural Network.
673-678
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- Chandrama Shaw, Biplab K. Sikdar, N. C. Maiti:
CA Based Document Compression Technology.
679-685
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- Motofumi Fukui, Noriji Kato, Hitoshi Ikeda, Hirotsugu Kashimura:
Size-Independent Image Segmentation by Hierarchical Clustering and Its Application for Face Detection.
686-693
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- Sang-Bok Choi, Sang-Woo Ban, Minho Lee:
Human-Like Selective Attention Model with Reinforcement and Inhibition Mechanism.
694-699
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- Santi P. Maity, Malay Kumar Kundu, Prasanta Kumar Nandi:
Genetic Algorithm for Optimal Imperceptibility in Image Communication Through Noisy Channel.
700-705
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- Moon-sung Park, Il-sook Kim, Eun-kyung Cho, Young-hee Kwon:
High Speed Extraction Model of ROI for Automatic Logistics System.
706-713
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- Chi-Hang Chan, Irwin King:
Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map.
714-719
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- Shiguo Lian, Jinsheng Sun, Zhongxin Li, Zhiquan Wang:
A Fast MPEG4 Video Encryption Scheme Based on Chaotic Neural Network.
720-725
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- Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swamy, B. Yegnanarayana:
Content-Based Video Classification Using Support Vector Machines.
726-731
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- Hyo Sun Yoon, Gueesang Lee, Soo-Hyung Kim, Deokjai Choi:
Fast Half Pixel Motion Estimation Based on Spatio-temporal Correlations.
732-737
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Pattern Recognition
- T. Kalyani, V. Rajkumar Dare, D. G. Thomas:
Local and Recognizable Iso Picture Languages.
738-743
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- Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra:
Multilayer Feedforward Ensembles for Classification Problems.
744-749
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- Xubo B. Song, Misha Pavel:
Performance Advantage of Combined Classifiers in Multi-category Cases: An Analysis.
750-757
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- Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
Web Documents Categorization Using Neural Networks.
758-762
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- Samarasena Buchala, Neil Davey, Ray J. Frank, Tim M. Gale, Martin Loomes, Wanida Kanargard:
Gender Classification of Face Images: The Role of Global and Feature-Based Information.
763-768
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- 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
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- 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
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- Subhadip Basu, C. Chaudhuri, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
A Two-Pass Approach to Pattern Classification.
781-786
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- Pradeep Kumar Shetty:
A Long Memory Process Based Parametric Modeling and Recognition of PD Signal.
787-793
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- Rinku Panchal, Brijesh Verma:
A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns.
794-799
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- K. R. Sivaramakrishnan, Chiranjib Bhattacharyya:
Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach.
800-805
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- Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriganesh Madhvanath:
Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers.
806-813
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- Tapan Kumar Bhowmik, Ujjwal Bhattacharya, Swapan K. Parui:
Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features.
814-819
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- Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriganesh Madhvanath:
Elastic Matching Algorithms for Online Tamil Character Recognition.
820-826
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- Heui-Seok Lim, Hyeoncheol Kim:
Automated Classification of Industry and Occupation Codes Using Document Classification Method.
827-833
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- P. S. Hiremath, B. V. Dhandra, Ravindra Hegadi, G. G. Rajput:
Abnormality Detection in Endoscopic Images Using Color Segmentation and Curvature Computation.
834-841
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- Bin Huang, Bao-Liang Lu:
Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network.
842-847
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- Pradipta Maji, Parimal Pal Chaudhuri:
Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining.
848-853
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- Anne M. P. Canuto, Araken M. Santos, Marjory 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
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- Manuel Martín-Merino, Alberto Muñoz:
A New MDS Algorithm for Textual Data Analysis.
860-867
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Neuroinformatics
- Deepak Mishra, Abhishek Yadav, Prem Kumar Kalra:
Chaotic Behavior in Neural Networks and FitzHugh-Nagumo Neuronal Model.
868-873
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- Lipo Wang:
Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore.
874-879
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- 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
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- Soo-Young Lee:
Korean Neuroinformatics Research Program: From the Second Phase to the Third Phase.
885-890
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- Prasun Kumar Roy, Nandini Chatterjee Singh:
A Guided Tour of Neuroinformatics Research in India.
891-897
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Fuzzy Systems
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
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- Zaheeruddin, Garima:
A Neuro-fuzzy Approach for Predicting the Effects of Noise Pollution on Human Work Efficiency.
947-952
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- Cleber Zanchettin, Teresa Bernarda Ludermir:
Evolving Fuzzy Neural Networks Applied to Odor Recognition.
953-958
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- C. Shunmuga Velayutham, Satish Kumar:
Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network.
959-964
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- Manish Manori A., Manish Maheshwari, Kuldeep Belawat, Sanjeev Jain, P. K. Chande:
Neuro-fuzzy System for Clustering of Video Database.
965-970
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- Snjezana Soltic, Shaoning Pang, Nikola Kasabov, Susan P. Worner, Lora Peacock:
Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment.
971-976
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- Kwang-Baek Kim, Choong Shik Park:
An Enhanced Fuzzy Multilayer Perceptron.
977-982
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Hybrid Systems
- Siva S. Sivatha Sindhu, P. Ramasubramanian, A. Kannan:
Intelligent Multi-agent Based Genetic Fuzzy Ensemble Network Intrusion Detection.
983-988
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- Jyh-Yeong Chang, Chien-Wen Cho, Su-Hwang Hsieh, Shi-Tsung Chen:
Genetic Algorithm Based Fuzzy ID3 Algorithm.
989-995
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- Ricardo Matsumura de Araújo, Luís C. Lamb:
Neural-Evolutionary Learning in a Bounded Rationality Scenario.
996-1001
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- Yi Xu, Narendra S. Chaudhari:
Rule Extraction Framework Using Rough Sets and Neural Networks.
1002-1007
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- A. K. Chakraborty, P. Guha, B. Chattopadhyay, S. Pal, J. Das:
A Fusion Neural Network for Estimation of Blasting Vibration.
1008-1013
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Feature Analysis
Independent Component Analysis
- Erkki Oja:
Applications of Independent Component Analysis.
1044-1051
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- Manabu Kotani, Hiroki Takabatake, Seiichi Ozawa:
Supervised Independent Component Analysis with Class Information.
1052-1057
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- Dimitris Glotsos, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis 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
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- Liqing Zhang:
Temporal Independent Component Analysis for Separating Noisy Signals.
1064-1069
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- Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee:
Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model.
1070-1075
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- Chandra Shekhar Dhir, Hyung-Min Park, Soo-Young Lee:
Permutation Correction of Filter Bank ICA Using Static Channel Characteristics.
1076-1081
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Ant Colony
- Nadia Nedjah, Luiza de Macedo Mourelle:
Minimal Addition-Subtraction Chains with Ant Colony.
1082-1087
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- Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka:
TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies.
1088-1093
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- 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
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- 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
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- 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
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Neural Network Hardware
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
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- Shubao Liu, Jun Wang:
A Dual Neural Network for Bi-criteria Torque Optimization of Redundant Robot Manipulators.
1142-1147
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- Keiji Kamei, Masumi Ishikawa:
A Genetic Approach to Optimizing the Values of Parameters in Reinforcement Learning for Navigation of a Mobile Robot.
1148-1153
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- Artur M. Arsenio:
On the Use of Cognitive Artifacts for Developmental Learning in a Humanoid Robot.
1154-1159
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- J. K. Mukherjee:
Visual Servo Control for Intelligent Guided Vehicle.
1160-1165
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Signal Processing
- Tetsuya Tsukada, Yoshifumi Sekine:
A Basilar Membrane Model Using Simulink for Hearing-Aid Systems.
1166-1171
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- Rajesh M. Hegde, Hema A. Murthy:
Cluster and Intrinsic Dimensionality Analysis of the Modified Group Delay Feature for Speaker Classification.
1172-1178
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- K. Sreenivasa Rao, S. R. Mahadeva Prasanna, B. Yegnanarayana:
Two-Stage Duration Model for Indian Languages Using Neural Networks.
1179-1185
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- Bin Xia, Liqing Zhang:
Multichannel Blind Deconvolution of Non-minimum Phase System Using Cascade Structure.
1186-1191
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- Goutam Saha, Pankaj Kumar, Sandipan Chakroborty:
A Comparative Study of Feature Extraction Algorithms on ANN Based Speaker Model for Speaker Recognition Applications.
1192-1197
Electronic Edition (link) BibTeX
- Debi Prasad Das, Ganapati Panda, Sanghamitra Sabat:
Development of FLANN Based Multireference Active Noise Controllers for Nonlinear Acoustic Noise Processes.
1198-1203
Electronic Edition (link) BibTeX
- P. Prajith, N. S. Sreekanth, N. K. Narayanan:
Phase Space Parameters for Neural Network Based Vowel Recognition.
1204-1209
Electronic Edition (link) BibTeX
- N. Dhananjaya, S. Guruprasad, B. Yegnanarayana:
Speaker Segmentation Based on Subsegmental Features and Neural Network Models.
1210-1215
Electronic Edition (link) BibTeX
Support Vector Machine
- Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs.
1216-1222
Electronic Edition (link) BibTeX
- Yasushi Kikawa, Koji Oguri:
A Study for Excluding Incorrect Detections of Holter ECG Data Using SVM.
1223-1228
Electronic Edition (link) BibTeX
- Daoqiang Zhang, Keren Tan, Songcan Chen:
Semi-supervised Kernel-Based Fuzzy C-Means.
1229-1234
Electronic Edition (link) BibTeX
- Yo Horikawa:
Use of Autocorrelation Kernels in Kernel Canonical Correlation Analysis for Texture Classification.
1235-1240
Electronic Edition (link) BibTeX
- Anurag Sahajpal, Terje Kristensen, Gaurav Kumar:
Phoneme Transcription by a Support Vector Machine.
1241-1246
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- Kyung-shik Shin, Kyoung Jun Lee, Hyun-jung Kim:
Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and Its Contingency.
1254-1259
Electronic Edition (link) BibTeX
- Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu:
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction.
1260-1265
Electronic Edition (link) BibTeX
- D. Srikrishna Satish, C. Chandra Sekhar:
Kernel Based Clustering for Multiclass Data.
1266-1272
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
Time Series Prediction
Bioinformatics
- Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
Hydrological Forecasting and Updating Procedures for Neural Network.
1304-1309
Electronic Edition (link) BibTeX
- Ranjith Vasireddy, Somenath Biswas:
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets.
1310-1315
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- Musa Alci, Musa H. Asyali:
Assessment of Reliability of Microarray Data Using Fuzzy C-Means Classification.
1322-1327
Electronic Edition (link) BibTeX
- Horia-Nicolai L. Teodorescu, Lucian Iulian Fira:
DNA Sequence Pattern Identification Using a Combination of Neuro-Fuzzy Predictors.
1328-1333
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- Karmeshu, A. Krishnamachari:
Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective.
1354-1361
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:20:52 2009
by Michael Ley (ley@uni-trier.de)