Similarity-Based Pattern Recognition

Table of Contents

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   Book Overview
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   Chapter 1 On the Usefulness of Similarity Based Projection Spaces for Transfer Learning
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   Chapter 2 Metric Anomaly Detection via Asymmetric Risk Minimization
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   Chapter 3 One Shot Similarity Metric Learning for Action Recognition
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   Chapter 4 On a Non-monotonicity Effect of Similarity Measures
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   Chapter 5 Section-Wise Similarities for Clustering and Outlier Detection of Subjective Sequential Data
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   Chapter 6 Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma
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   Chapter 7 Multi-task Regularization of Generative Similarity Models
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   Chapter 8 A Generative Dyadic Aspect Model for Evidence Accumulation Clustering
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    Chapter 9 Supervised Learning of Graph Structure
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    Chapter 10 An Information Theoretic Approach to Learning Generative Graph Prototypes
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    Chapter 11 Graph Characterization via Backtrackless Paths
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    Chapter 12 Impact of the Initialization in Tree-Based Fast Similarity Search Techniques
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    Chapter 13 Multiple-Instance Learning with Instance Selection via Dominant Sets
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    Chapter 14 Min-sum Clustering of Protein Sequences with Limited Distance Information
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    Chapter 15 Model-Based Clustering of Inhomogeneous Paired Comparison Data
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    Chapter 16 Bag Dissimilarities for Multiple Instance Learning
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    Chapter 17 Mutual Information Criteria for Feature Selection
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    Chapter 18 Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma
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    Chapter 19 Supervised Segmentation of Fiber Tracts
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    Chapter 20 Exploiting Dissimilarity Representations for Person Re-identification
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    Chapter 21 A Study of Embedding Methods under the Evidence Accumulation Framework
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    Chapter 22 A Study on the Influence of Shape in Classifying Small Spectral Data Sets
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    Chapter 23 Feature Point Matching Using a Hermitian Property Matrix