Visual Pattern Discovery and Recognition

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2017-06-14

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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.
Pages
87 pages
Collection
SpringerBriefs in Computer Science
Parution
2017-06-14
Marque
Springer
EAN papier
9789811048395
EAN PDF
9789811048401

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
4782 Ko
Prix
52,74 €
EAN EPUB
9789811048401

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
3011 Ko
Prix
52,74 €