LEADER 04524nam 22008415 450 001 9910483763703321 005 20200630032610.0 010 $a3-319-14612-2 024 7 $a10.1007/978-3-319-14612-6 035 $a(CKB)2560000000326182 035 $a(Springer)9783319146126 035 $a(MH)014293518-2 035 $a(SSID)ssj0001424459 035 $a(PQKBManifestationID)11934326 035 $a(PQKBTitleCode)TC0001424459 035 $a(PQKBWorkID)11369016 035 $a(PQKB)11662143 035 $a(DE-He213)978-3-319-14612-6 035 $a(MiAaPQ)EBC6283503 035 $a(MiAaPQ)EBC5588124 035 $a(Au-PeEL)EBL5588124 035 $a(OCoLC)900872187 035 $a(PPN)183519930 035 $a(EXLCZ)992560000000326182 100 $a20150107d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnergy Minimization Methods in Computer Vision and Pattern Recognition$b[electronic resource] $e10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings /$fedited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (X, 506 p. 179 illus.)$conline resource 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8932 300 $aIncludes index. 311 $a3-319-14611-4 327 $aDiscrete and continuous optimization -- Image restoration and inpainting -- Segmentation -- PDE and variational methods -- Motion, tracking and multiview reconstruction -- Statistical methods and learning -- Medical image analysis. 330 $aThis volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8932 606 $aPattern recognition 606 $aComputer software?Reusability 606 $aOptical data processing 606 $aAlgorithms 606 $aData mining 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aPerformance and Reliability$3https://scigraph.springernature.com/ontologies/product-market-codes/I12077 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aPattern recognition. 615 0$aComputer software?Reusability. 615 0$aOptical data processing. 615 0$aAlgorithms. 615 0$aData mining. 615 14$aPattern Recognition. 615 24$aPerformance and Reliability. 615 24$aImage Processing and Computer Vision. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aData Mining and Knowledge Discovery. 676 $a006.42 702 $aTai$b Xue-Cheng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBae$b Egil$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChan$b Tony F$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLysaker$b Marius$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483763703321 996 $aEnergy Minimization Methods in Computer Vision and Pattern Recognition$9772370 997 $aUNINA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress