Low-Rank and Sparse Modeling for Visual Analysis
ISBN 10: 3319119990 ISBN 13: 9783319119991
Published by Springer, 2014
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This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.
About the Author: Yun Fu is an Assistant Professor, ECE and CS, Northeastern University
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Title: Low-Rank and Sparse Modeling for Visual ...
Publisher: Springer
Publication Date: 2014
Binding: Hardcover
Condition: New
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VII, 236 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Seller Inventory # 6658IB
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications. Seller Inventory # 25013699/1
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Low-Rank and Sparse Modeling for Visual Analysis (eng)
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Low-Rank and Sparse Modeling for Visual Analysis
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ISBN 10: 3319119990
ISBN 13: 9783319119991
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers the most state-of-the-art topics of sparse and low-rank modelingExamines the theory of sparse and low-rank analysis to the real-world practice of sparse and low-rank analysisContributions from top experts voicing their unique perspec. Seller Inventory # 4499171
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Low-Rank and Sparse Modeling for Visual Analysis
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ISBN 10: 3319119990
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications. 244 pp. Englisch. Seller Inventory # 9783319119991
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Low-Rank and Sparse Modeling for Visual Analysis
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ISBN 10: 3319119990
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications. Seller Inventory # 9783319119991
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Low-Rank and Sparse Modeling for Visual Analysis
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ISBN 10: 3319119990
ISBN 13: 9783319119991
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction.Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 244 pp. Englisch. Seller Inventory # 9783319119991
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Low-Rank and Sparse Modeling for Visual Analysis
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