Visual Pattern Discovery and Recognition (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Computer Science
Release date:	June 2017
First published:	2017
Authors:	Hongxing Wang • Chaoqun Weng • Junsong Yuan
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	87
Edition:	1st ed. 2017
ISBN-13:	978-981-10-4839-5
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Image processing > General
LSN:	981-10-4839-8
Barcode:	9789811048395

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