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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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2017.
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Series: | SpringerBriefs in Computer Science,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
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.