Support Vector Machines: Theory and Applications

Editors:

ISBN: 978-3-540-24388-5 (Print) 978-3-540-32384-6 (Online)

Table of contents (20 chapters)

  1. Front Matter

    Pages -

  2. No Access

    Chapter

    Pages 1-47

    Support Vector Machines – An Introduction

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    Chapter

    Pages 49-76

    Multiple Model Estimation for Nonlinear Classification

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    Chapter

    Pages 77-98

    Componentwise Least Squares Support Vector Machines

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    Chapter

    Pages 99-111

    Active Support Vector Learning with Statistical Queries

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    Chapter

    Pages 113-131

    Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine

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    Chapter

    Pages 133-158

    Active-Set Methods for Support Vector Machines

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    Chapter

    Pages 159-179

    Theoretical and Practical Model Selection Methods for Support Vector Classifiers

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    Chapter

    Pages 181-203

    Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification

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    Chapter

    Pages 205-218

    Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods

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    Chapter

    Pages 219-232

    An Accelerated Robust Support Vector Machine Algorithm

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    Chapter

    Pages 233-254

    Fuzzy Support Vector Machines with Automatic Membership Setting

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    Chapter

    Pages 255-274

    Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance

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    Chapter

    Pages 275-296

    Kernel Discriminant Learning with Application to Face Recognition

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    Chapter

    Pages 297-320

    Fast Color Texture-Based Object Detection in Images: Application to License Plate Localization

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    Chapter

    Pages 321-342

    Support Vector Machines for Signal Processing

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    Chapter

    Pages 343-363

    Cancer Diagnosis and Protein Secondary Structure Prediction Using Support Vector Machines

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    Chapter

    Pages 365-386

    Gas Sensing Using Support Vector Machines

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    Chapter

    Pages 387-397

    Application of Support Vector Machines in Inverse Problems in Ocean Color Remote Sensing

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    Chapter

    Pages 399-412

    Application of Support Vector Machine to the Detection of Delayed Gastric Emptying from Electrogastrograms

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    Chapter

    Pages 413-431

    Tachycardia Discrimination in Implantable Cardioverter Defibrillators Using Support Vector Machines and Bootstrap Resampling