株式会社極東書店トップ ＞ 商品一覧 ＞ Low-Rank and Sparse Modeling for Visual Analysis. Softcover reprint of the original 1st ed. 2014
商品詳細
Low-Rank and Sparse Modeling for Visual Analysis. Softcover reprint of the original 1st ed. 2014
・ISBN 978-3-319-35567-2 paper EUR 99.99
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お気に入り
★★★
| 著者・編者 | Fu, Yun (ed.), |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 236 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-48417＞ |
解説
This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links multiple popular research fields in Human-Centered Computing, Social Media, Image Classification, Pattern Recognition, Computer Vision, Big Data, and Human-Computer Interaction. Contains an overview of the low-rank and sparse modeling techniques for visual analysis by examining both theoretical analysis and real-world applications.