Visual Pattern Discovery and Recognition
This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analyti...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2017, 2017
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| Edition: | 1st ed. 2017 |
| Series: | SpringerBriefs in Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Context-Aware Discovery of Visual Co-occurrence Patterns
- 3. Hierarchical Sparse Coding for Visual Co-occurrence Discovery
- 4. Feature Co-occurrence for Visual Labeling
- 5. Visual Clustering with Minimax Feature Fusion
- 6. Conclusion