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Foundations of Large-Scale Multimedia Information Management and Retrieval

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Cover of 'Foundations of Large-Scale Multimedia Information Management and Retrieval'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Key Subroutines of Multimedia Data Management
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    Chapter 2 Perceptual Feature Extraction
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    Chapter 3 Query Concept Learning
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    Chapter 4 Similarity
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    Chapter 5 Formulating Distance Functions
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    Chapter 6 Multimodal Fusion
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    Chapter 7 Fusing Content and Context with Causality
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    Chapter 8 Combinational Collaborative Filtering, Considering Personalization
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    Chapter 9 Imbalanced Data Learning
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    Chapter 10 PSVM: Parallelizing Support Vector Machines on Distributed Computers
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    Chapter 11 Approximate High-Dimensional Indexing with Kernel
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    Chapter 12 Speeding Up Latent Dirichlet allocation with Parallelization and Pipeline Strategies
Attention for Chapter 9: Imbalanced Data Learning
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