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Visual Pattern Discovery and Recognition / / by Hongxing Wang, Chaoqun Weng, Junsong Yuan



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Autore: Wang Hongxing Visualizza persona
Titolo: Visual Pattern Discovery and Recognition / / by Hongxing Wang, Chaoqun Weng, Junsong Yuan Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (X, 87 p. 33 illus., 9 illus. in color.)
Disciplina: 006.4
Soggetto topico: Pattern recognition
Optical data processing
Data mining
Pattern Recognition
Image Processing and Computer Vision
Data Mining and Knowledge Discovery
Persona (resp. second.): WengChaoqun
YuanJunsong
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: 1. Introduction -- 2. Context-Aware Discovery of Visual Co-occurrence Patterns -- 3. Hierarchical Sparse Coding for Visual Co-occurrence Discovery -- 4. Feature Co-occurrence for Visual Labeling -- 5. Visual Clustering with Minimax Feature Fusion -- 6. Conclusion.
Sommario/riassunto: 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.
Titolo autorizzato: Visual Pattern Discovery and Recognition  Visualizza cluster
ISBN: 981-10-4840-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254818003321
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Serie: SpringerBriefs in Computer Science, . 2191-5768