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...

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Bibliographic Details
Main Authors: Wang, Hongxing (Author), Weng, Chaoqun (Author), Yuan, Junsong (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Series:SpringerBriefs in Computer Science,
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.