LEADER 01195nam0 22002771i 450 001 UON00032865 005 20231205102109.105 100 $a20020107d1966 |0itac50 ba 101 $atur 102 $aTR 105 $a|||| 1|||| 200 1 $aAhmet Vefik Pasa$fSevim Guray 210 $aAnkara$cAnkara Universitesi$d1966 215 $a164 p.$d20 cm 410 1$1001UON00032705$12001 $aT.D.K. Tanitma Yayinlari$eTurk Diline Emek Verenler Dizisi$v12 606 $aLetteratura turca ottomana$xCritica$3UONC002324$2FI 620 $aTR$dAnkara$3UONL000083 686 $aOTT VI BB$cIMPERO OTTOMANO - LETTERATURA - CRITICA$2A 700 1$aGURAY$bSevim$3UONV021628$0645630 712 $aAnkara Universitesi Basimevi$3UONV246303$4650 801 $aIT$bSOL$c20251003$gRICA 912 $aUON00032865 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI OTT VI BB 018 $eSI TUR1479 5 018 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI OTT VI BB 018 bis $eSI TUR1597 5 018 bis 996 $aAhmet Vefik Pasa$91192133 997 $aUNIOR LEADER 03789nam 22007695 450 001 9910299701803321 005 20200701215605.0 010 $a3-662-44526-3 024 7 $a10.1007/978-3-662-44526-6 035 $a(CKB)3710000000228769 035 $a(EBL)1968562 035 $a(OCoLC)908090041 035 $a(SSID)ssj0001353965 035 $a(PQKBManifestationID)11758980 035 $a(PQKBTitleCode)TC0001353965 035 $a(PQKBWorkID)11322606 035 $a(PQKB)10814132 035 $a(DE-He213)978-3-662-44526-6 035 $a(MiAaPQ)EBC1968562 035 $a(PPN)18135456X 035 $a(EXLCZ)993710000000228769 100 $a20140904d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHigh-Dimensional and Low-Quality Visual Information Processing $eFrom Structured Sensing and Understanding /$fby Yue Deng 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (108 p.) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $aDescription based upon print version of record. 311 $a3-662-44525-5 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Sparse Structure for Visual Signal Sensing -- Graph Structure for Visual Signal Sensing -- Discriminative Structure for Visual Signal Understanding -- Information Theoretic Structure for Visual Signal Understanding -- Conclusions. 330 $aThis thesis primarily focuses on how to carry out intelligent sensing and understand the high-dimensional and low-quality visual information. After exploring the inherent structures of the visual data, it proposes a number of computational models covering an extensive range of mathematical topics, including compressive sensing, graph theory, probabilistic learning and information theory. These computational models are also applied to address a number of real-world problems including biometric recognition, stereo signal reconstruction, natural scene parsing, and SAR image processing. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aOptical data processing 606 $aData structures (Computer science) 606 $aData mining 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aOptical data processing. 615 0$aData structures (Computer science) 615 0$aData mining. 615 14$aSignal, Image and Speech Processing. 615 24$aImage Processing and Computer Vision. 615 24$aData Structures and Information Theory. 615 24$aData Mining and Knowledge Discovery. 676 $a005.74 676 $a006.312 676 $a006.37 676 $a006.6 700 $aDeng$b Yue$4aut$4http://id.loc.gov/vocabulary/relators/aut$0739866 906 $aBOOK 912 $a9910299701803321 996 $aHigh-Dimensional and Low-Quality Visual Information Processing$91466012 997 $aUNINA