ENGLISH

Visual Pattern Discovery and Recognition

Book information

Publisher
Springer Singapore
Year
2017
ISBN
978-981-10-4839-5, 978-981-10-4840-1
DOI
10.1007/978-981-10-4840-1
Language
english
Format
PDF
Filesize
5 MB (4865372 bytes)
Series
SpringerBriefs in Computer Science
Edition
1
Pages
X, 87\93
Time added
2017-06-25 01:07:36

Description

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.

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