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Artificial Neural Networks in Pattern Recognition

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Cover of 'Artificial Neural Networks in Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Patch Relational Neural Gas – Clustering of Huge Dissimilarity Datasets
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    Chapter 2 The Block Generative Topographic Mapping
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    Chapter 3 Kernel k -Means Clustering Applied to Vector Space Embeddings of Graphs
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    Chapter 4 Probabilistic Models Based on the Π-Sigmoid Distribution
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    Chapter 5 How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise
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    Chapter 6 Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis
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    Chapter 7 Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
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    Chapter 8 Artificial Neural Networks in Pattern Recognition
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    Chapter 9 Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four
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    Chapter 10 Cyclostationary Neural Networks for Air Pollutant Concentration Prediction
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    Chapter 11 Fuzzy Evolutionary Probabilistic Neural Networks
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    Chapter 12 Experiments with Supervised Fuzzy LVQ
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    Chapter 13 A Neural Network Approach to Similarity Learning
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    Chapter 14 Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes
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    Chapter 15 Boosting Threshold Classifiers for High– Dimensional Data in Functional Genomics
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    Chapter 16 Decision Fusion on Boosting Ensembles
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    Chapter 17 The Mixture of Neural Networks as Ensemble Combiner
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    Chapter 18 Combining Methods for Dynamic Multiple Classifier Systems
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    Chapter 19 Researching on Multi-net Systems Based on Stacked Generalization
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    Chapter 20 Real-Time Emotion Recognition from Speech Using Echo State Networks
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    Chapter 21 Sentence Understanding and Learning of New Words with Large-Scale Neural Networks
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    Chapter 22 Multi-class Vehicle Type Recognition System
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    Chapter 23 A Bio-inspired Neural Model for Colour Image Segmentation
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    Chapter 24 Mining Software Aging Patterns by Artificial Neural Networks
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    Chapter 25 Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy
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    Chapter 26 Feature Ranking Ensembles for Facial Action Unit Classification
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    Chapter 27 Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration
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    Chapter 28 Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition
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    Chapter 29 Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint
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Title
Artificial Neural Networks in Pattern Recognition
Published by
Springer Berlin Heidelberg, June 2008
DOI 10.1007/978-3-540-69939-2
ISBNs
978-3-54-069938-5, 978-3-54-069939-2
Editors

Prevost, Lionel, Marinai, Simone, Schwenker, Friedhelm

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 12%
Unknown 30 88%
Readers by discipline Count As %
Computer Science 3 9%
Engineering 1 3%
Unknown 30 88%