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Visual pattern discovery and recognition
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SpringerLink (Online service)
Visual pattern discovery and recognition
Record Type:
Electronic resources : Monograph/item
Title/Author:
Visual pattern discovery and recognitionby Hongxing Wang, Chaoqun Weng, Junsong Yuan.
Author:
Wang, Hongxing.
other author:
Weng, Chaoqun.
Published:
Singapore :Springer Singapore :2017.
Description:
x, 87 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Pattern recognition systems.
Online resource:
http://dx.doi.org/10.1007/978-981-10-4840-1
ISBN:
9789811048401$q(electronic bk.)
Visual pattern discovery and recognition
Wang, Hongxing.
Visual pattern discovery and recognition
[electronic resource] /by Hongxing Wang, Chaoqun Weng, Junsong Yuan. - Singapore :Springer Singapore :2017. - x, 87 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..
1. Introduction -- 2. Context-Aware Discovery of Visual Co-occurrence Patterns -- 3. Hierarchical Sparse Coding for Visual Co-occurrence Discovery -- 4. Feature Co-occurrence for Visual Labeling -- 5. Visual Clustering with Minimax Feature Fusion -- 6. Conclusion.
This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.
ISBN: 9789811048401$q(electronic bk.)
Standard No.: 10.1007/978-981-10-4840-1doiSubjects--Topical Terms:
183725
Pattern recognition systems.
LC Class. No.: TK7882.P3
Dewey Class. No.: 006.3
Visual pattern discovery and recognition
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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.
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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.
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EB TK7882.P3 W246 2017
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http://dx.doi.org/10.1007/978-981-10-4840-1
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