Pattern Recognition with Support Vector Machines

Table of Contents

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   Book Overview
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   Chapter 1 Predicting Signal Peptides with Support Vector Machines
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   Chapter 2 Scaling Large Learning Problems with Hard Parallel Mixtures
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   Chapter 3 On the Generalization of Kernel Machines
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   Chapter 4 Kernel Whitening for One-Class Classification
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   Chapter 5 A Fast SVM Training Algorithm
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   Chapter 6 Support Vector Machines with Embedded Reject Option
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   Chapter 7 Image Kernels
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   Chapter 8 Combining Color and Shape Information for Appearance-Based Object Recognition Using Ultrametric Spin Glass-Markov Random Fields
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    Chapter 9 Maintenance Training of Electric Power Facilities Using Object Recognition by SVM
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    Chapter 10 Kerneltron: Support Vector ‘Machine’ in Silicon
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    Chapter 11 Advances in Component-Based Face Detection
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    Chapter 12 Support Vector Learning for Gender Classification Using Audio and Visual Cues: A Comparison
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    Chapter 13 Analysis of Nonstationary Time Series Using Support Vector Machines
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    Chapter 14 Recognition of Consonant-Vowel (CV) Units of Speech in a Broadcast News Corpus Using Support Vector Machines
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    Chapter 15 Anomaly Detection Enhanced Classification in Computer Intrusion Detection
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    Chapter 16 Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat’s Barrel Cortex
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    Chapter 17 Applications of Support Vector Machines for Pattern Recognition: A Survey
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    Chapter 18 Typhoon Analysis and Data Mining with Kernel Methods
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    Chapter 19 Support Vector Features and the Role of Dimensionality in Face Authentication
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    Chapter 20 Face Detection Based on Cost-Sensitive Support Vector Machines
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    Chapter 21 Real-Time Pedestrian Detection Using Support Vector Machines
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    Chapter 22 Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition
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    Chapter 23 Color Texture-Based Object Detection: An Application to License Plate Localization
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    Chapter 24 Support Vector Machines in Relational Databases
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    Chapter 25 Multi-Class SVM Classifier Based on Pairwise Coupling
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    Chapter 26 Face Recognition Using Component-Based SVM Classification and Morphable Models
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    Chapter 27 A New Cache Replacement Algorithm in SMO
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    Chapter 28 Optimization of the SVM Kernels Using an Empirical Error Minimization Scheme
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    Chapter 29 Face Detection Based on Support Vector Machines
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    Chapter 30 Detecting Windows in City Scenes
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    Chapter 31 Support Vector Machine Ensemble with Bagging
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    Chapter 32 A Comparative Study of Polynomial Kernel SVM Applied to Appearance-Based Object Recognition