LEADER 03694nam 22006615 450 001 9910298985003321 005 20200705003504.0 010 $a3-319-12000-X 024 7 $a10.1007/978-3-319-12000-3 035 $a(CKB)3710000000269679 035 $a(EBL)1965273 035 $a(SSID)ssj0001372369 035 $a(PQKBManifestationID)11894551 035 $a(PQKBTitleCode)TC0001372369 035 $a(PQKBWorkID)11301574 035 $a(PQKB)10199120 035 $a(MiAaPQ)EBC1965273 035 $a(DE-He213)978-3-319-12000-3 035 $a(PPN)182094804 035 $a(EXLCZ)993710000000269679 100 $a20141029d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLow-Rank and Sparse Modeling for Visual Analysis /$fedited by Yun Fu 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (240 p.) 300 $aDescription based upon print version of record. 311 $a3-319-11999-0 320 $aIncludes bibliographical references and index. 327 $aNonlinearly 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. 330 $aThis 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. 606 $aOptical data processing 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aOptical data processing. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 14$aImage Processing and Computer Vision. 615 24$aSignal, Image and Speech Processing. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a004 676 $a006.37 676 $a006.6 676 $a621.382 702 $aFu$b Yun$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298985003321 996 $aLow-Rank and Sparse Modeling for Visual Analysis$92281734 997 $aUNINA