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by Qionghai Dai, Hongxun Yao, Ling-Yu Duan, Yue Gao, Rongrong Ji
Learning-Based Local Visual Representation and Indexing
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Title page
Table of Contents
Preface
List of Figures
List of Tables
List of Algorithms
Chapter 1: Introduction
Abstract
1.1 Background and Significance
1.2 Literature Review of the Visual Dictionary
1.3 Contents of this Book
Chapter 2: Interest-Point Detection: Beyond Local Scale
Abstract
2.1 Introduction
2.2 Difference of Contextual Gaussians
2.3 Mean Shift-Based Localization
2.4 Detector Learning
2.5 Experiments
2.6 Summary
Chapter 3: Unsupervised Dictionary Optimization
Abstract
3.1 Introduction
3.2 Density-Based Metric Learning
3.3 Chain-Structure Recognition
3.4 Dictionary Transfer Learning
3.5 Experiments
3.6 Summary
Chapter 4: Supervised Dictionary Learning via Semantic Embedding
Abstract
4.1 Introduction
4.2 Semantic Labeling Propagation
4.3 Supervised Dictionary Learning
4.4 Experiments
4.5 Summary
Chapter 5: Visual Pattern Mining
Abstract
5.1 Introduction
5.2 Discriminative 3D Pattern Mining
5.3 CBoP for Low Bit Rate Mobile Visual Search
5.4 Quantitative Results
5.5 Conclusion
Conclusions
References
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Table of Contents
Learning-Based Local Visual Representation and Indexing
First edition
Rongrong Ji
Yue Gao
Ling-Yu Duan
Hongxun Yao
Qionghai Dai
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