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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications - Couverture rigide
Synopsis
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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À propos de l?auteur
Dr. Hong Cheng is Professor in the School of Automation Engineering, and Deputy Executive Director of the Center for Robotics at the University of Electronic Science and Technology of China. His other publications include the Springer book Autonomous Intelligent Vehicles.
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- ÉditeurSpringer London Ltd
- Date d'édition2015
- ISBN 10 1447167139
- ISBN 13 9781447167136
- ReliureRelié
- Langueanglais
- Nombre de pages257
- Coordonnées du fabricantnon disponible
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Sparse Representation, Modeling and Learning in Visual Recognition : Theory, Algorithms and Applications
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Springer London, 2015
ISBN 10 : 1447167139
ISBN 13 : 9781447167136
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Couverture rigide
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 25486800/2
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Sparse Representation, Modeling and Learning in Visual Recognition
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Gebunden. Etat : 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. N° de réf. du vendeur 31552088
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Sparse Representation, Modeling and Learning in Visual Recognition
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Springer London Jun 2015, 2015
ISBN 10 : 1447167139
ISBN 13 : 9781447167136
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9781447167136
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Sparse Representation, Modeling and Learning in Visual Recognition
Edité par
Springer London, Springer London Jun 2015, 2015
ISBN 10 : 1447167139
ISBN 13 : 9781447167136
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9781447167136
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Sparse Representation, Modeling and Learning in Visual Recognition : Theory, Algorithms and Applications
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Springer London, Springer London, 2015
ISBN 10 : 1447167139
ISBN 13 : 9781447167136
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9781447167136
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications
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Springer London Ltd, 2015
ISBN 10 : 1447167139
ISBN 13 : 9781447167136
Neuf
Couverture rigide
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 552. N° de réf. du vendeur C9781447167136
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 257. N° de réf. du vendeur 26372447132
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications
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Springer-Verlag New York Inc, 2015
ISBN 10 : 1447167139
ISBN 13 : 9781447167136
Neuf
Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 9.25x6.25x0.75 inches. In Stock. N° de réf. du vendeur x-1447167139
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications (Advances in Computer Vision and Pattern Recognition)
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Etat : New. Print on Demand pp. 257. N° de réf. du vendeur 373598275
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