Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 60,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,95
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Chiron Media, Wallingford, Regno Unito
EUR 56,55
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 87 1st ed. 2017 edition NO-PA16APR2015-KAP.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,14
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2017
ISBN 10: 9811048398 ISBN 13: 9789811048395
Da: Revaluation Books, Exeter, Regno Unito
EUR 76,68
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 87 pages. 9.25x6.25x0.25 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,39
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 77,84
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 87.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,77
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 87.
Da: moluna, Greven, Germania
EUR 48,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.