Artificial Neural Networks and Neural Information Processing - Icann/Iconip 2003: Joint International Conference Icann/Icinip 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings (Google eBook)

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Okyay Kaynak
Springer Science & Business Media, Jun 16, 2003 - Computers - 1188 pages
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This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003.

The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.

  

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Contents

A Simple Constructing Approach to Build P2P Global Computing Overlay Network
607
Option Pricing with the Product Constrained Hybrid Neural Network
615
SelfOrganizing Operator Maps in Complex System Analysis
622
Optimization of a Microwave Amplifier Using Neural Performance Data Sheets with Genetic Algorithms
630
Adaptive Stochastic Classifier for Noisy pHISFET Measurements
638
Comparing Support Vector Machines Recurrent Networks and Finite State Transducers for Classifying Spoken Utterances
646
Selecting and Ranking Time Series Models Using the NOEMON Approach
654
Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach
662

Differential ICA
68
A Comparison of Model Aggregation Methods for Regression
76
Linear LeastSquares Based Methods for Neural Networks Learning
84
A Probabilistic Point of View
92
Eliminating Dead Neurons in Competitive Learning
99
Approximate Learning in Temporal Hidden Hopfield Models
107
Finite Mixture Model of Bounded Seminaive Bayesian Networks Classifier
115
System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning
123
Dimension Reduction Based on Orthogonality A Decorrelation Method in ICA
132
Selective Sampling Methods in OneClass Classification Problems
140
Learning Distributed Representations of HighArity Relational Data with Nonlinear Relational Embedding
149
Metalearning for Fast Incremental Learning
157
ExpectationMiniMax Approach to Clustering Analysis
165
Formal Determination of Context in Contextual Recursive Cascade Correlation Networks
173
Confidence Estimation Using the Incremental Learning Algorithm Learn++
181
Stability and Convergence Analysis of a Neural Model Applied in Nonlinear Systems Optimization
189
SVM and Kernel Methods
199
Generalization Error Analysis for Polynomial Kernel Methods Algebraic Geometrical Approach
201
The Support Vectors Method Applied to Kriging
209
Support Vector Machine Classifiers for Asymmetric Proximities
217
Fuzzy Model Identification Using Support Vector Clustering Method
225
Human Splice Site Identification with Multiclass Support Vector Machines and Bagging
234
Statistical Data Analysis
243
Optimizing Property Codes in Protein Data Reveals Structural Characteristics
245
Multicategory Bayesian Decision Using a ThreeLayer Neural Network
253
Integrating Supervised and Unsupervised Learning in Self Organizing Maps for Gene Expression Data Analysis
262
Prior Hyperparameters in Bayesian PCA
271
Relevance and Kernel SelfOrganising Maps
280
Pattern Recognition
289
Hierarchical Bayesian Network for Handwritten Digit Recognition
291
A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems
299
Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application
307
Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers
316
Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory
325
Supervised Locally Linear Embedding
333
Feature Extraction for OneClass Classification
342
Autoadaptive and Dynamical Clustering Neural Network
350
Transformations of Symbolic Data for Continuous Data Oriented Models
359
Comparing Fuzzy Data Sets by Means of Graph Matching Technique
367
How to Do Multiway Classification with TwoWay Classifiers
375
Vision
383
Sparse Coding with Invariance Constraints
385
A Neural Network Model with Backward Paths
393
An Information Theoretic Unifying Objective Function for Topographic Mappings
401
ShortTerm Memory Optical Flow Image
409
A Hybrid MLPPNN Architecture for Fast Image Superresolution
417
Recognition of Gestural Object Reference with Auditory Feedback
425
Multichip Implementation of a Biomimetic VLSI Vision Sensor Based on the AdelsonBergen Algorithm
433
Speech Recognition
441
Client Dependent GMMSVM Models for Speaker Verification
443
Frequency and Wavelet Filtering for Robust Speech Recognition
452
Robotics and Control
461
Unsupervised Learning of a Kinematic Arm Model
463
A Design of CMAC Based Intelligent PID Controllers
471
Learning to Control at Multiple Time Scales
479
The Evolution of Modular Artificial Neural Networks for Legged Robot Control
488
Dimensionality Reduction through SensoryMotor Coordination
496
Learning Localisation Based on Landmarks Using SelfOrganisation
504
Signal Processing
513
Spatial Independent Component Analysis of MultitaskRelated Activation in fMRI Data
515
Closed Loop Stability of FIRRecurrent Neural Networks
523
Selective Noise Cancellation Using Independent Component Analysis
530
Expert Mixture Methods for Adaptive Channel Equalization
538
A Relaxation Algorithm Influenced by SelfOrganizing Maps
546
A Gradient Network for Vector Quantization and Its Image Compression Applications
554
Multiscale Switching Linear Dynamical Systems
562
TimeSeries Prediction
571
Model Selection with CrossValidations and Bootstraps Application to Time Series Prediction with RBFN Models
573
A Hybrid Neural Architecture and Its Application to Temperature Prediction
581
Risk Management Application of the Recurrent Mixture Density Network Models
589
Hierarchical Mixtures of Autoregressive Models for TimeSeries Modeling
597
Intelligent and Hybrid Systems
605
Inversion of a Neural Network via Interval Arithmetic for Rule Extraction
670
Implementation of Visual Attention System Using Bottomup Saliency Map Model
678
A SelfGrowing Probabilistic DecisionBased Neural Network for AnchorSpeaker Identification
686
An Application to Thyroid Gland Data
695
Protein Sequence Classification Using Probabilistic Motifs and Neural Networks
702
On a Dynamic Wavelet Network and Its Modeling Application
710
Neural Network Hardware
719
Low Power Digital Neuron for SOM Implementations
721
Direction Selective TwoDimensional Analog Circuits Using Biomedical Vision Model
729
Review of Capacitive Threshold Gate Implementations
737
A Synopsis of the Last Decade
745
Neuromorphic Networks for Nanoelectronic Implementation
753
Cognitive Science
761
An Extended Connectionist Model
763
A Neural Model of Binding and Capacity in Visual Working Memory
771
Input Anticipation May Lead to Advanced Adaptation Properties
779
Acceleration of Game Learning with PredictionBased Reinforcement Learning Toward the Emergence of Planning Behavior
786
Computational Neuroscience
795
The Interaction of Recurrent Axon Collateral Networks in the Basal Ganglia
797
Optimal Coding for Naturally Occurring Whisker Deflections
805
Object Localisation Using Laterally Connected What and Where Associator Networks
813
Influence of Membrane Warp on Pulse Propagation Time
821
Detailed Learning in Narrow Fields Towards a Neural Network Model of Autism
830
Online Processing of Multiple Inputs in a SparselyConnected Recurrent Neural Network
839
A Framework to Predict Neuronal Spike Trains
846
Roles of Motion and Form in Biological Motion Recognition
854
Special Sessions
865
Semantic and Context Aware Intelligent Systems
866
Improving the Performance of Resource Allocation Networks through Hierarchical Clustering of HighDimensional Data
867
Learning Rule Representations from Boolean Data
875
Incorporating User Feedback
883
Classification and Tracking of Hypermedia Navigation Patterns
891
SelfAware Networks and Quality of Service
901
Drawing Attention to the Dangerous
909
ASK Acquisition of Semantic Knowledge
917
An Adaptable Gaussian NeuroFuzzy Classifier
925
Knowledge Refinement Using Fuzzy Compositional Neural Networks
933
Theories and Applications
941
Phase Singular Points Reduction by a Layered ComplexValued Neural Network in Combination with Constructive Fourier Synthesis
943
Quantum Adiabatic Evolution Algorithm for a Quantum Neural Network
951
Adaptive Beamforming by Using ComplexValued Multi Layer Perceptron
959
A ComplexValued Spiking Machine
967
The Behavior of the Network Consisting of Two ComplexValued NagumoSato Neurons
977
On Activation Functions for ComplexValued Neural Networks Existence of Energy Functions
985
The Computational Power of ComplexValued Neuron
993
Computational Intelligence and Applications
1001
Recommendation Models for User Accesses to Web Pages
1003
A SpectralSpatial Classification Algorithm for Multispectral Remote Sensing Data
1011
Neural Network Based Material Identification and Part Thickness Estimation from Two Radiographic Images
1018
Selection of Optimal Cutting Conditions by Using the Genetically Optimized Neural Network System GONNS
1026
Building RBF Neural Network Topology through Potential Functions
1033
Use of Magnetomyographic MMG Signals to Calculate the Dependency Properties of the Active Sensors in Myometrial Activity Monitoring
1041
Speed Enhancement with Soft Computing Hardware
1049
Neural Networks Applied to Electromagnetic Compatibility EMC Simulations
1057
Sliding Mode Algorithm for Online Learning in Analog Multilayer Feedforward Neural Networks
1064
Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques
1073
An Evolutionary Approach
1081
Indirect Differentiation of Function for a Network of Biologically Plausible Neurons
1089
Application of Vision Models to Traffic Sign Recognition
1100
Emotion Recognition
1107
An Intelligent Scheme for Facial Expression Recognition
1109
Signal Enhancement for Continuous Speech Recognition
1117
Towards an Integration of Linguistic Paralinguistic and Psychological Analysis
1125
An Emotional Recognition Architecture Based on Human Brain Structure
1133
Neural Networks for Bioinformatics Applications
1141
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
1143
Feature Analysis and Classification of Protein Secondary Structure Data
1151
Recognition of Structure Classification of Protein Folding by NN and SVM Hierarchical Learning Architecture
1159
Machine Learning for Multiclass Protein Fold Classification Based on Neural Networks with Feature Gating
1168
Some New Features for Protein Fold Prediction
1176
Author Index
1185
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Page 1056 - The research described in this paper was carried out by the Jet Propulsion Laboratory, California Institute of Technology, and was sponsored by the Ballistic Missile Defense Organization through an agreement with the National Aeronautics and Space Administration.
Page 975 - IEEE Trans, on Circuits and Systems —II: Analog and Digital Signal Processing, vol. 45, No. 3, pp. 269-282, March 1998. [II] J. Crols and M. Steyaert, "An Analog Integrated Polyphase Filter for a High Performance Low-IF Receiver," 1995 Symposium on VLSI Circuits Digest of Technical Papers, pp.

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