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Similarity-Based Pattern Recognition

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Cover of 'Similarity-Based Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 A Novel Data Representation Based on Dissimilarity Increments
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    Chapter 2 Characterizing Multiple Instance Datasets
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    Chapter 3 Supervised Learning of Diffusion Distance to Improve Histogram Matching
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    Chapter 4 Similarity Analysis from Limiting Quantum Walks
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    Chapter 5 Introducing Negative Evidence in Ensemble Clustering Application in Automatic ECG Analysis
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    Chapter 6 Dissimilarity Representations for Low-Resolution Face Recognition
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    Chapter 7 Deep Metric Learning Using Triplet Network
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    Chapter 8 Cluster Merging Based on Dominant Sets
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    Chapter 9 An Adaptive Radial Basis Function Kernel for Support Vector Data Description
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    Chapter 10 Robust Initialization for Learning Latent Dirichlet Allocation
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    Chapter 11 Unsupervised Motion Segmentation Using Metric Embedding of Features
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    Chapter 12 Transitive Assignment Kernels for Structural Classification
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    Chapter 13 Large Scale Indefinite Kernel Fisher Discriminant
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    Chapter 14 Similarity-Based User Identification Across Social Networks
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    Chapter 15 Dominant-Set Clustering Using Multiple Affinity Matrices
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    Chapter 16 Discovery of Salient Low-Dimensional Dynamical Structure in Neuronal Population Activity Using Hopfield Networks
Attention for Chapter 10: Robust Initialization for Learning Latent Dirichlet Allocation
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