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Support Vector Machines Applications

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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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