Neural information processing [electronic resource]: 11th international conference, ICONIP 2004, Calcutta, India, November 22-25, 2004 : proceedings, 第 11 卷Nikil R. Pal Springer Science & Business Media, 2004年11月18日 - 1368 頁 It is our great pleasure to welcome you to the 11th International Conference on Neural Information Processing (ICONIP 2004) to be held in Calcutta. ICONIP 2004 is organized jointly by the Indian Statistical Institute (ISI) and Jadavpur University (JU). We are con?dent that ICONIP 2004, like the previous conf- ences in this series,will providea forum for fruitful interactionandthe exchange of ideas between the participants coming from all parts of the globe. ICONIP 2004 covers all major facets of computational intelligence, but, of course, with a primary emphasis on neural networks. We are sure that this meeting will be enjoyable academically and otherwise. We are thankful to the track chairs and the reviewers for extending their support in various forms to make a sound technical program. Except for a few cases, where we could get only two review reports, each submitted paper was reviewed by at least three referees, and in some cases the revised versions were againcheckedbythereferees. Wehad470submissionsanditwasnotaneasytask for us to select papers for a four-day conference. Because of the limited duration of the conference, based on the review reports we selected only about 40% of the contributed papers. Consequently, it is possible that some good papers are left out. We again express our sincere thanks to all referees for accomplishing a great job. In addition to 186 contributed papers, the proceedings includes two plenary presentations, four invited talks and 18 papers in four special sessions. The proceedings is organized into 26 coherent topical groups. |
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Computational Neuroscience | 1 |
Synchronous Phenomena for TwoLayered Neural Network | 19 |
Memory Modification Induced by Pattern Completion and STDP | 37 |
The Spatiotemporal Dynamics | 50 |
A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat | 78 |
Orientation Map Emerges in Parallel with the Formation | 84 |
The Balance Between Excitation and Inhibition | 90 |
ComplexValued Neural Networks | 104 |
A Fast MPEG4 Video Encryption Scheme | 720 |
Pattern Recognition | 738 |
Web Documents Categorization Using Neural Networks | 758 |
Clustering of IntervalValued Data | 775 |
A Long Memory Process Based Parametric Modeling and Recognition | 787 |
Time Series Classification | 800 |
Recognition of Bangla Handwritten Characters | 814 |
Automated Classification of Industry and Occupation Codes | 827 |
A Model of HopfieldType Quaternion Neural Networks | 110 |
ModeUtilizing Developmental Learning | 116 |
Dynamics of ComplexValued Neural Networks | 122 |
Two Models for Theta Precession Generation Using the Complex Version | 130 |
Selforganizing Maps | 136 |
An Empirical Study on the Robustness of SOM in Preserving Topology | 142 |
Extending the SOM Algorithm to NonEuclidean Distances | 150 |
An Efficient TwoLevel SOMART Document Clustering | 158 |
Using SOMBased Data Binning | 172 |
Closest Substring Problem Results from an Evolutionary Algorithm | 205 |
Multiobjective Genetic Search for Spanning Tree Problem Rajeev Kumar P K Singh and P P Chakrabarti | 218 |
Evolutionary Learning Programs Behavior in Neural Networks | 236 |
for Unstable and Integrating Processes with Time Delay Representation and Identification of Finite State Automata | 254 |
Neural Network ClosedLoop Control | 269 |
Cognitive Science | 282 |
Cognitive Process of Emotion Under Uncertainty | 300 |
Cerebral Activation Areas with Respect to Word and Sentence Production | 316 |
Neuroinformatics | 326 |
The Teager Energy Based Features for Identification of Identical Twins | 333 |
Signature Verification Using Static and Dynamic Features Mayank Vatsa Richa Singh Pabitra Mitra and Afzel Noore | 350 |
Adaptive Intelligent Systems | 368 |
An Evolving Neural Network Model for Person Verification | 381 |
Adaptive Affine Subspace Selforganizing Map with Kernel Method | 387 |
BrainLike Computing | 393 |
Pulsed Paraneural Networks PPNN Based on MEXOR Logic Andrzej Buller Ismail Ahson and Muzaffar Azim Knowledge Reusing Neural Learning S... | 399 |
for Immediate Adaptation in Navigation Tasks Universal SpikeTrain Processor for a HighSpeed Simulation | 409 |
of Pulsed Paraneural Networks Michal Joachimczak Beata Grzyb and Daniel Jelinski | 416 |
Knowledge Extraction from Artificial Associative Memory | 422 |
Learning Algorithms | 428 |
Predictive Approaches for Sparse Model Learning | 434 |
Multiple Instance Learning with Radial Basis Function Neural Networks | 440 |
Leverages Based Neural Networks Fusion | 446 |
A Process of Differentiation in the Assembly Neural Network | 452 |
Managing Interference Between Prior and Later Learning | 458 |
Adaptive Learning in Incremental Learning RBF Networks | 471 |
Incremental Learning and Dimension Selection Through Sleep | 489 |
An OnLine Learning Algorithm with Dimension Selection | 502 |
Improving kNN Based Text Classification | 516 |
TeacherDirected Learning with Gaussian | 530 |
Variational Information Maximization for Neural Coding Felix Agakov and David Barber | 543 |
Comparison of TDLeafλ and TDλ Learning | 549 |
Gaussian Process Regression with Fluid Hyperpriors | 567 |
A ForwardPropagation Rule for Acquiring Neural Inverse Models | 585 |
A Neighbor Generation Mechanism Optimizing Neural Networks Amanda Lins and Teresa Ludermir | 613 |
TWRBF Transductive RBF Neural Network | 633 |
An Incremental Neural Network | 641 |
Image Processing | 659 |
RealTime Gaze Detection via Neural Network | 673 |
and Its Application for Face Detection | 686 |
Genetic Algorithm for Optimal Imperceptibility in Image Communication | 700 |
Using Biased Support Vector Machine to Improve Retrieval Result | 714 |
Fault Diagnosis for Industrial Images | 842 |
A New MDS Algorithm for Textual Data Analysis | 860 |
Chaotic Behavior in Neural Networks | 868 |
SnapShots | 874 |
Deciphering the Genetic Blueprint of Cerebellar Development | 880 |
A Guided Tour of Neuroinformatics Research in India | 891 |
Fuzzy Systems | 898 |
A Fuzzy Multilevel Programming Method | 904 |
Fuzzy RuleBased Systems Derived from Similarity to Prototypes | 912 |
A Partitioning Method for Fuzzy Probabilistic Predictors | 929 |
Fuzzy Compactness Based Adaptive Window Approach | 935 |
Evolving Fuzzy Neural Networks Applied to Odor Recognition Cleber Zanchettin and Teresa B Ludermir | 953 |
Dynamic Neurofuzzy Inference and Statistical Models for Risk Analysis | 971 |
Genetic Algorithm Based Fuzzy ID3 Algorithm | 989 |
Rule Extraction Framework Using Rough Sets and Neural Networks Yi Xu and Narendra S Chaudhari | 1002 |
A Fusion Neural Network for Estimation of Blasting Vibration A K Chakraborty P Guha B Chattopadhyay S Pal and J Das | 1008 |
Feature Selection for Fast Image Classification | 1026 |
Independent Component Analysis | 1044 |
Automated Diagnosis of Brain Tumours Using a Novel Density Estimation | 1058 |
Permutation Correction of Filter Bank | 1076 |
Ant Colony | 1082 |
Investigations into the Use of Supervised Multiagents | 1101 |
Neural Network Hardware | 1117 |
Robotics | 1135 |
A Genetic Approach to Optimizing the Values of Parameters | 1148 |
Signal Processing | 1166 |
TwoStage Duration Model for Indian Languages | 1179 |
A Comparative Study of Feature Extraction Algorithms | 1192 |
Speaker Segmentation Based on Subsegmental Features | 1210 |
A Study for Excluding Incorrect Detections of Holter ECG Data | 1223 |
Semisupervised KernelBased Fuzzy CMeans | 1229 |
Use of Autocorrelation Kernels in Kernel Canonical Correlation Analysis | 1235 |
Phoneme Transcription by a Support Vector Machine | 1241 |
A Comparison of Pruning Algorithms for Sparse Least Squares Support | 1247 |
Support Vector Machines Approach to Pattern Detection | 1254 |
Outliers Treatment in Support Vector Regression | 1260 |
Kernel Based Clustering for Multiclass D Srikrishna Satish and C Chandra Sekhar Data | 1266 |
Combined Kernel Function for Support Vector Machine | 1273 |
Time Series Prediction | 1279 |
WaveletBased Estimation of Hemodynamic Response Function | 1285 |
Neural Networks for fMRI Spatiotemporal Analysis Luo Huaien and Sadasivan Puthusserypady | 1292 |
Modeling Corrupted Time Series Data | 1298 |
Hydrological Forecasting and Updating Procedures for Neural Network | 1304 |
Bioinformatics | 1310 |
Protein Metal Binding Residue Prediction Based on Neural Networks | 1316 |
Assessment of Reliability of Microarray Data | 1322 |
DNA Sequence Pattern Identification | 1328 |
Genetic Mining of DNA Sequence Structures for Effective Classification | 1334 |
Gene Regulatory Network Discovery | 1344 |
| 1362 | |
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activity adaptive agent algorithm analysis applied approach average Berlin Heidelberg 2004 binary calculated cell classifier clustering competitive components Computer cortical data set database defined denotes dynamics eigenfaces equation error estimation evaluate evolutionary algorithm experimental results experiments extracted face detection face image face recognition feature vector fingerprint frequency function Fuzzy Gaussian genetic algorithm Heidelberg hidden units ICONIP IEEE input pattern kernel layer learning linear LNCS Machine Learning matrix memory minutiae module N.R. Pal neural network neurons nodes noise object obtained optimal output paper parameters performance phase pixel PPNN problem Proc proposed method pulse receptive field recurrent neural network region represents samples selected self-organizing Self-Organizing Map shown shows signal simulation space Springer-Verlag Berlin Heidelberg structure supervised learning support vector machines synaptic target task technique tion training set update variables visual visual cortex wavelet weights