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Pattern Recognition - Applications and Methods

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Cover of 'Pattern Recognition - Applications and Methods'

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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Mentioned by

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2 blogs

Citations

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Readers on

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59 Mendeley
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Title
Pattern Recognition - Applications and Methods
Published by
Springer Science & Business Media, February 2013
DOI 10.1007/978-3-642-36530-0
ISBNs
978-3-64-236530-0, 978-3-64-236529-4
Editors

Latorre Carmona, Pedro, Sánchez, J. Salvador, Fred, Ana L.N.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 2%
Professor > Associate Professor 1 2%
Student > Doctoral Student 1 2%
Lecturer > Senior Lecturer 1 2%
Unknown 55 93%
Readers by discipline Count As %
Computer Science 2 3%
Social Sciences 2 3%
Unknown 55 93%