Items related to Robust Subspace Estimation Using Low-Rank Optimization:...
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications: 12 (The International Series in Video Computing, 12) - Softcover
Synopsis
Various fundamental applications in computer vision and machine learning require finding the basis of a certain subspace. Examples of such applications include face detection, motion estimation, and activity recognition. An increasing interest has been recently placed on this area as a result of significant advances in the mathematics of matrix rank optimization. Interestingly, robust subspace estimation can be posed as a low-rank optimization problem, which can be solved efficiently using techniques such as the method of Augmented Lagrange Multiplier. In this book, the authors discuss fundamental formulations and extensions for low-rank optimization-based subspace estimation and representation. By minimizing the rank of the matrix containing observations drawn from images, the authors demonstrate how to solve four fundamental computer vision problems, including video denosing, background subtraction, motion estimation, and activity recognition.
"synopsis" may belong to another edition of this title.
- PublisherSpringer
- Publication date2016
- ISBN 10 3319352482
- ISBN 13 9783319352480
- BindingPaperback
- LanguageEnglish
- Number of pages120
Buy New
View this item
£ 40.54
£ 2.98 shipping from Italy to United Kingdom
Destination, rates & speeds
Search results for Robust Subspace Estimation Using Low-Rank Optimization:...
Stock Image
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing, 12) [Paperback] Oreifej, Omar and Shah, Mubarak (eng)
Print on DemandSeller: Brook Bookstore On Demand, Napoli, NA, Italy
Seller rating 5 out of 5 stars
Condition: new. Questo è un articolo print on demand. Seller Inventory # 43c9aabf7ada4fc984b7057d1fe55ce5
Quantity: Over 20 available
Stock Image
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing, 12)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783319352480_new
Quantity: Over 20 available
Seller Image
Robust Subspace Estimation Using Low-Rank Optimization
Published by
Berlin Springer International Publishing Springer Aug 2016, 2016
ISBN 10: 3319352482
ISBN 13: 9783319352480
New
Taschenbuch
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 -Various fundamental applications in computer vision and machine learning require finding the basis of a certain subspace. Examples of such applications include face detection, motion estimation, and activity recognition. An increasing interest has been recently placed on this area as a result of significant advances in the mathematics of matrix rank optimization. Interestingly, robust subspace estimation can be posed as a low-rank optimization problem, which can be solved efficiently using techniques such as the method of Augmented Lagrange Multiplier. In this book, the authors discuss fundamental formulations and extensions for low-rank optimization-based subspace estimation and representation. By minimizing the rank of the matrix containing observations drawn from images, the authors demonstrate how to solve four fundamental computer vision problems, including video denosing, background subtraction, motion estimation, and activity recognition. 114 pp. Englisch. Seller Inventory # 9783319352480
Quantity: 2 available
Seller Image
Robust Subspace Estimation Using Low-Rank Optimization : Theory and Applications
Published by
Springer, Berlin, Springer International Publishing, Springer, 2016
ISBN 10: 3319352482
ISBN 13: 9783319352480
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Various fundamental applications in computer vision and machine learning require finding the basis of a certain subspace. Examples of such applications include face detection, motion estimation, and activity recognition. An increasing interest has been recently placed on this area as a result of significant advances in the mathematics of matrix rank optimization. Interestingly, robust subspace estimation can be posed as a low-rank optimization problem, which can be solved efficiently using techniques such as the method of Augmented Lagrange Multiplier. In this book, the authors discuss fundamental formulations and extensions for low-rank optimization-based subspace estimation and representation. By minimizing the rank of the matrix containing observations drawn from images, the authors demonstrate how to solve four fundamental computer vision problems, including video denosing, background subtraction, motion estimation, and activity recognition. Seller Inventory # 9783319352480
Quantity: 2 available
Seller Image
Robust Subspace Estimation Using Low-Rank Optimization
Published by
Springer International Publishing, 2016
ISBN 10: 3319352482
ISBN 13: 9783319352480
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive summary of the state-of-the-art methods and applications of Low-Rank OptimizationReviews the latest approaches in a wide range of computer vision problems, including: Scene Reconstruction, Video Denoising, Activity Recogni. Seller Inventory # 458602722
Quantity: Over 20 available
Stock Image
Robust Subspace Estimation Using Low-rank Optimization: Theory and Applications
Published by
Springer-Verlag New York Inc, 2016
ISBN 10: 3319352482
ISBN 13: 9783319352480
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. reprint edition. 120 pages. 9.25x6.10x0.29 inches. In Stock. Seller Inventory # x-3319352482
Quantity: 2 available
Stock Image
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing, 12)
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
Paperback. Condition: Like New. Like New. book. Seller Inventory # ERICA80033193524826
Quantity: 1 available
Stock Image
Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing, 12)
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar3113020094340
Quantity: Over 20 available