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Pattern Recognition - Applications and Methods

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Table of Contents

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    Book Overview
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    Chapter 1 Pattern Recognition - Applications and Methods
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    Chapter 2 Analysis of Factorial Designs with the Consideration of Interactions via the Stepwise Response Refinement Screener (SRRS)
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    Chapter 3 Object Detection with Semi-local Features
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    Chapter 4 Inferring Time Varying Dynamic Linear Model Parameters from a Mixture Model
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    Chapter 5 A Performance Evaluation of Mutual Information Estimators for Multivariate Feature Selection
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    Chapter 6 Modelling and Explaining Online News Preferences
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    Chapter 7 Combining Graph Seriation and Substructures Mining for Graph Recognition
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    Chapter 8 Segmentation of Nonstationary Time Series with Geometric Clustering
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    Chapter 9 A Novel Framework for Nontechnical Losses Detection in Electricity Companies
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    Chapter 10 Adaptive Features for Object Classification
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    Chapter 11 SVM-Based Feature Selection and Classification for Email Filtering
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    Chapter 12 Instance Selection Methods and Resampling Techniques for Dissimilarity Representation with Imbalanced Data Sets
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    Chapter 13 Simplex Decompositions Using Singular Values Decomposition
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    Chapter 14 On the Understanding of the Stream Volume Behavior on Twitter
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    Chapter 15 Training Selection with Label Propagation for Semi-supervised Land Classification and Segmentation of Satellite Images
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    Chapter 16 Hyperspectral Imagery Framework for Unmixing and Dimensionality Estimation
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