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Condition: New. pp. 87 1st ed. 2017 edition NO-PA16APR2015-KAP.
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Language: English
Published by Springer-Verlag New York Inc, 2017
ISBN 10: 9811048398 ISBN 13: 9789811048395
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Add to basketPaperback. Condition: Brand New. 87 pages. 9.25x6.25x0.25 inches. In Stock.
Language: English
Published by Springer Nature Singapore, 2017
ISBN 10: 9811048398 ISBN 13: 9789811048395
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Visual Pattern Discovery and Recognition | Hongxing Wang (u. a.) | Taschenbuch | x | Englisch | 2017 | Springer Singapore | EAN 9789811048395 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condition: new. Questo è un articolo print on demand.
Language: English
Published by SPRINGER NATURE Jun 2017, 2017
ISBN 10: 9811048398 ISBN 13: 9789811048395
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 87 pp. Englisch.
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Condition: New. Print on Demand pp. 87.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 87.
Language: English
Published by Springer Nature Singapore, 2017
ISBN 10: 9811048398 ISBN 13: 9789811048395
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Enables readers to quickly access the world of visual pattern discovery and multi-feature fusion researchOffers detailed methodology to handle visual data with large variations in spatial and feature domains.