Low-Rank and Sparse Modeling for Visual Analysis (Record no. 51689)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03072nam a22005055i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-12000-3 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420220217.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 141029s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319120003 |
| -- | 978-3-319-12000-3 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.6 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.37 |
| 245 10 - TITLE STATEMENT | |
| Title | Low-Rank and Sparse Modeling for Visual Analysis |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | VII, 236 p. 66 illus., 51 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Nonlinearly Structured Low-Rank Approximation -- Latent Low-Rank Representation -- Scalable Low-Rank Representation -- Low-Rank and Sparse Dictionary Learning -- Low-Rank Transfer Learning -- Sparse Manifold Subspace Learning -- Low Rank Tensor Manifold Learning -- Low-Rank and Sparse Multi-Task Learning -- Low-Rank Outlier Detection -- Low-Rank Online Metric Learning. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding, and learning among unconstrained visual data. Included in the book are chapters covering multiple emerging topics in this new field. The text links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. This book contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications. �         Covers the most state-of-the-art topics of sparse and low-rank modeling �         Examines the theory of sparse and low-rank analysis to the real-world practice of sparse and low-rank analysis �         Contributions from top experts voicing their unique perspectives included throughout. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Fu, Yun. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-12000-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2014. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer graphics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image processing. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Image Processing and Computer Vision. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Image and Speech Processing. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 912 ## - | |
| -- | ZDB-2-SCS |
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