Visual Pattern Discovery and Recognition / by Hongxing Wang, Chaoqun Weng, Junsong Yuan.

Format:

Book

Author/Creator:

Wang, Hongxing, author.

Weng, Chaoqun, author.

Yuan, Junsong, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

SpringerBriefs in computer science 2191-5768

SpringerBriefs in Computer Science, 2191-5768

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Data mining.

Pattern Recognition.

Image Processing and Computer Vision.

Data Mining and Knowledge Discovery.

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (X, 87 pages) : 33 illustrations, 9 illustrations in color.

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

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 analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.

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.

Other Format:

Printed edition:

ISBN:

978-981-10-4840-1

9789811048401

Access Restriction:

Restricted for use by site license.