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Support Vector Machines Applications

Overview of attention for book
Cover of 'Support Vector Machines Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Augmented-SVM for Gradient Observations with Application to Learning Multiple-Attractor Dynamics
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    Chapter 2 Multi-Class Support Vector Machine
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    Chapter 3 Novel Inductive and Transductive Transfer Learning Approaches Based on Support Vector Learning
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    Chapter 4 Security Evaluation of Support Vector Machines in Adversarial Environments
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    Chapter 5 Application of SVMs to the Bag-of-Features Model: A Kernel Perspective
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    Chapter 6 Support Vector Machines for Neuroimage Analysis: Interpretation from Discrimination
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    Chapter 7 Kernel Machines for Imbalanced Data Problem in Biomedical Applications
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    Chapter 8 Soft Biometrics from Face Images Using Support Vector Machines
Attention for Chapter 5: Application of SVMs to the Bag-of-Features Model: A Kernel Perspective
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Citations

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Chapter title
Application of SVMs to the Bag-of-Features Model: A Kernel Perspective
Chapter number 5
Book title
Support Vector Machines Applications
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-02300-7_5
Book ISBNs
978-3-31-902299-4, 978-3-31-902300-7
Authors

Lei Wang, Lingqiao Liu, Luping Zhou, Kap Luk Chan

Editors

Yunqian Ma, Guodong Guo

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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