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Sparse Representation Modeling Learning by Cheng Hong (30 results)
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.62
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Sparse Representation, Modeling and Learning in Visual Recognition : Theory, Algorithms and Applications
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. pp. 272 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 1447172515 ISBN 13: 9781447172512
Paperback. Condition: Brand New. reprint edition. 271 pages. 9.25x6.10x0.62 inches. In Stock.
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer-Verlag New York Inc, 2015
ISBN 10: 1447167139 ISBN 13: 9781447167136
Hardcover. Condition: Brand New. 9.25x6.25x0.75 inches. In Stock.
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Sparse Representation, Modeling and Learning in Visual Recognition
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London, Springer London Jun 2015, 2015
ISBN 10: 1447167139 ISBN 13: 9781447167136
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.
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Sparse Representation, Modeling and Learning in Visual Recognition : Theory, Algorithms and Applications
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London, Springer London, 2016
ISBN 10: 1447172515 ISBN 13: 9781447172512
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.
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Sparse Representation, Modeling and Learning in Visual Recognition : Theory, Algorithms and Applications
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London, Springer London, 2015
ISBN 10: 1447167139 ISBN 13: 9781447167136
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.
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Sparse Representation, Modeling and Learning in Visual Recognition : Theory, Algorithms and Applications
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 156.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Sparse Representation, Modeling and Learning in Visual Recognition
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London Okt 2016, 2016
ISBN 10: 1447172515 ISBN 13: 9781447172512
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book. 272 pp. Englisch.
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Sparse Representation, Modeling and Learning in Visual Recognition
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London Jun 2015, 2015
ISBN 10: 1447167139 ISBN 13: 9781447167136
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book. 272 pp. Englisch.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the latest research trends in compressed sensing, covering sparse representation, modeling and learningExamines sensing applications in visual recognition, including sparsity induced similarity, and sparse coding-based classifying framew.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the latest research trends in compressed sensing, covering sparse representation, modeling and learningExamines sensing applications in visual recognition, including sparsity induced similarity, and sparse coding-based classifying framew.
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Sparse Representation, Modeling and Learning in Visual Recognition
Book 47 of 86: Advances in Computer Vision and Pattern RecognitionLanguage: English
Published by Springer London, Springer London Okt 2016, 2016
ISBN 10: 1447172515 ISBN 13: 9781447172512
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation, graphical models in compressed sensing, collaborative representation-based classification, and high-dimensional nonlinear learning; includes appendices outlining additional computer programming resources, and explaining the essential mathematics required to understand the book.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.
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Taschenbuch. Condition: Neu. Sparse Representation, Modeling and Learning in Visual Recognition | Theory, Algorithms and Applications | Hong Cheng | Taschenbuch | xiv | Englisch | 2016 | Springer | EAN 9781447172512 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. Sparse Representation, Modeling and Learning in Visual Recognition | Theory, Algorithms and Applications | Hong Cheng | Buch | xiv | Englisch | 2015 | Springer | EAN 9781447167136 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
