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Artificial Neural Networks - ICANN 2006

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 The Core Method: Connectionist Model Generation
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    Chapter 2 A Neural Scheme for Robust Detection of Transparent Logos in TV Programs
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    Chapter 3 A Neural Network to Retrieve Images from Text Queries
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    Chapter 4 Techniques for Still Image Scene Classification and Object Detection
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    Chapter 5 Adaptation of Weighted Fuzzy Programs
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    Chapter 6 Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks
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    Chapter 7 Classifier Fusion: Combination Methods For Semantic Indexing in Video Content
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    Chapter 8 Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors
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    Chapter 9 A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models
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    Chapter 10 Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations
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    Chapter 11 Bridging the Syntactic and the Semantic Web Search
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    Chapter 12 Content-Based Coin Retrieval Using Invariant Features and Self-organizing Maps
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    Chapter 13 Learning Time-Series Similarity with a Neural Network by Combining Similarity Measures
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    Chapter 14 Prediction Improvement via Smooth Component Analysis and Neural Network Mixing
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    Chapter 15 Missing Value Estimation for DNA Microarrays with Mutliresolution Schemes
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    Chapter 16 Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters
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    Chapter 17 Analysis of Fast Input Selection: Application in Time Series Prediction
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    Chapter 18 A Linguistic Approach to a Human-Consistent Summarization of Time Series Using a SOM Learned with a LVQ-Type Algorithm
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    Chapter 19 Long-Term Prediction of Time Series Using State-Space Models
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    Chapter 20 Time Series Prediction Using Fuzzy Wavelet Neural Network Model
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    Chapter 21 OFDM Channel Equalization Based on Radial Basis Function Networks
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    Chapter 22 A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis
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    Chapter 23 Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests
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    Chapter 24 Reference-Based Extraction of Phase Synchronous Components
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    Chapter 25 Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem
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    Chapter 26 Nonnegative Matrix Factorization for Motor Imagery EEG Classification
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    Chapter 27 Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application
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    Chapter 28 Interpolating Support Information Granules
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    Chapter 29 Feature Selection Based on Kernel Discriminant Analysis
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    Chapter 30 Local Selection of Model Parameters in Probability Density Function Estimation
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    Chapter 31 The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis
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    Chapter 32 Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters
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    Chapter 33 Kernel PCA as a Visualization Tools for Clusters Identifications
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    Chapter 34 A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction
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    Chapter 35 Feature Extraction with Weighted Samples Based on Independent Component Analysis
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    Chapter 36 Discriminant Analysis by a Neural Network with Mahalanobis Distance
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    Chapter 37 Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping
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    Chapter 38 A Model Selection Method Based on Bound of Learning Coefficient
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    Chapter 39 Sequential Learning with LS-SVM for Large-Scale Data Sets
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    Chapter 40 A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation
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    Chapter 41 A Multisensor Fusion System for the Detection of Plant Viruses by Combining Artificial Neural Networks
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    Chapter 42 A Novel Connectionist-Oriented Feature Normalization Technique
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    Chapter 43 An Evolutionary Approach to Automatic Kernel Construction
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    Chapter 44 A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression
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    Chapter 45 Neural Network Clustering Based on Distances Between Objects
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    Chapter 46 Rotation-Invariant Pattern Recognition: A Procedure Slightly Inspired on Olfactory System and Based on Kohonen Network
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    Chapter 47 Pattern Classification Using Composite Features
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    Chapter 48 Towards a Control Theory of Attention
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    Chapter 49 Localization of Attended Multi-feature Stimuli: Tracing Back Feed-Forward Activation Using Localized Saliency Computations
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    Chapter 50 An Attention Based Similarity Measure for Colour Images
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    Chapter 51 Learning by Integrating Information Within and Across Fixations
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    Chapter 52 Feature Conjunctions in Visual Search
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    Chapter 53 A Biologically Motivated System for Unconstrained Online Learning of Visual Objects
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    Chapter 54 Second-Order (Non-Fourier) Attention-Based Face Detection
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    Chapter 55 Requirements for the Transmission of Streaming Video in Mobile Wireless Networks
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    Chapter 56 Wavelet Based Estimation of Saliency Maps in Visual Attention Algorithms
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    Chapter 57 Selective Tuning: Feature Binding Through Selective Attention
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    Chapter 58 Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers
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    Chapter 59 Computer Aided Classification of Mammographic Tissue Using Independent Component Analysis and Support Vector Machines
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    Chapter 60 Growing Neural Gas for Vision Tasks with Time Restrictions
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    Chapter 61 A Fixed-Point Algorithm of Topographic ICA
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    Chapter 62 Image Compression by Vector Quantization with Recurrent Discrete Networks
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    Chapter 63 Feature Extraction Using Class-Augmented Principal Component Analysis (CA-PCA)
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    Chapter 64 A Comparative Study of the Objectionable Video Classification Approaches Using Single and Group Frame Features
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    Chapter 65 Human Facial Expression Recognition Using Hybrid Network of PCA and RBFN
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    Chapter 66 Extracting Motion Primitives from Natural Handwriting Data
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    Chapter 67 Including Metric Space Topology in Neural Networks Training by Ordering Patterns
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    Chapter 68 A Technical Trading Indicator Based on Dynamical Consistent Neural Networks
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    Chapter 69 Testing the Random Walk Hypothesis with Neural Networks
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    Chapter 70 Financial Application of Neural Networks: Two Case Studies in Greece
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    Chapter 71 Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model
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    Chapter 72 Competitive and Collaborative Mixtures of Experts for Financial Risk Analysis
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    Chapter 73 Kernel Regression Based Short-Term Load Forecasting
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    Chapter 74 Electricity Load Forecasting Using Self Organizing Maps
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    Chapter 75 A Hybrid Neural Model in Long-Term Electrical Load Forecasting
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    Chapter 76 Application of Radial Basis Function Networks for Wind Power Forecasting
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    Chapter 77 The Application of Neural Networks to Electric Power Grid Simulation
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    Chapter 78 Early Detection of Winding Faults in Windmill Generators Using Wavelet Transform and ANN Classification
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    Chapter 79 Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System
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    Chapter 80 New Phenemenon on Power Transformers and Fault Identification Using Artificial Neural Networks
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    Chapter 81 Neural Network Based Algorithm for Radiation Dose Evaluation in Heterogeneous Environments
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    Chapter 82 Exploring the Intrinsic Structure of Magnetic Resonance Spectra Tumor Data Based on Independent Component Analysis and Correlation Analysis
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    Chapter 83 Fusing Biomedical Multi-modal Data for Exploratory Data Analysis
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    Chapter 84 Semi-supervised Significance Score of Differential Gene Expressions
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    Chapter 85 Semi Supervised Fuzzy Clustering Networks for Constrained Analysis of Time-Series Gene Expression Data
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    Chapter 86 Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts
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    Chapter 87 Tree-Dependent Components of Gene Expression Data for Clustering
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    Chapter 88 A Neural Model in Anti-spam Systems
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    Chapter 89 A Neural Model in Intrusion Detection Systems
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    Chapter 90 Improved Kernel Based Intrusion Detection System
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    Chapter 91 Testing the Fraud Detection Ability of Different User Profiles by Means of FF-NN Classifiers
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    Chapter 92 Predicting User’s Movement with a Combination of Self-Organizing Map and Markov Model
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    Chapter 93 Learning Manifolds in Forensic Data
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    Chapter 94 A Comparison of Target Customers in Asian Online Game Markets: Marketing Applications of a Two-Level SOM
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    Chapter 95 A Neural Network Approach to Study O 3 and PM 10 Concentration in Environmental Pollution
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    Chapter 96 ROC Analysis as a Useful Tool for Performance Evaluation of Artificial Neural Networks
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    Chapter 97 NewPR-Combining TFIDF with Pagerank
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    Chapter 98 A Fast Algorithm for Words Reordering Based on Language Model
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    Chapter 99 Phonetic Feature Discovery in Speech Using Snap-Drift Learning
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    Chapter 100 A New Neuro-Dominance Rule for Single Machine Tardiness Problem with Unequal Release Dates
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    Chapter 101 A Competitive Approach to Neural Device Modeling: Support Vector Machines
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    Chapter 102 Non-destructive Testing for Assessing Structures by Using Soft-Computing
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    Chapter 103 Neural Unit Element Application for in Use Microwave Circuitry
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    Chapter 104 An Artificial Neural Network Based Simulation Metamodeling Approach for Dual Resource Constrained Assembly Line
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    Chapter 105 A Packet Routing Method Using Chaotic Neurodynamics for Complex Networks
Attention for Chapter 63: Feature Extraction Using Class-Augmented Principal Component Analysis (CA-PCA)
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Chapter title
Feature Extraction Using Class-Augmented Principal Component Analysis (CA-PCA)
Chapter number 63
Book title
Artificial Neural Networks – ICANN 2006
Published by
Springer, Berlin, Heidelberg, September 2006
DOI 10.1007/11840930_63
Book ISBNs
978-3-54-038871-5, 978-3-54-038873-9
Authors

Myoung Soo Park, Jin Hee Na, Jin Young Choi, Park, Myoung Soo, Na, Jin Hee, Choi, Jin Young

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Researcher 1 14%
Student > Postgraduate 1 14%
Lecturer > Senior Lecturer 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 2 29%
Engineering 2 29%
Unknown 3 43%