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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications - Couverture souple
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
- Date d'édition2016
- ISBN 10 1447172515
- ISBN 13 9781447172512
- ReliureBroché
- Langueanglais
- Nombre de pages272
- Coordonnées du fabricantnon disponible
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Sparse Representation, Modeling and Learning in Visual Recognition
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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 447761809
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Sparse Representation, Modeling and Learning in Visual Recognition
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Springer London Okt 2016, 2016
ISBN 10 : 1447172515
ISBN 13 : 9781447172512
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Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. 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 9781447172512
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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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Sparse Representation, Modeling and Learning in Visual Recognition
Edité par
Springer London, Springer London Okt 2016, 2016
ISBN 10 : 1447172515
ISBN 13 : 9781447172512
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. 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 9781447172512
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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
Edité par
Springer London, Springer London, 2016
ISBN 10 : 1447172515
ISBN 13 : 9781447172512
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. 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 9781447172512
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Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications
Edité par
Springer London Ltd, 2016
ISBN 10 : 1447172515
ISBN 13 : 9781447172512
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 421. N° de réf. du vendeur C9781447172512
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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. 272. N° de réf. du vendeur 26378353733
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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, 2016
ISBN 10 : 1447172515
ISBN 13 : 9781447172512
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. reprint edition. 271 pages. 9.25x6.10x0.62 inches. In Stock. N° de réf. du vendeur x-1447172515
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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. 272. N° de réf. du vendeur 385517466
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