LEADER 04089nam 22007695 450 001 996465518603316 005 20200704051302.0 010 $a3-319-78199-5 024 7 $a10.1007/978-3-319-78199-0 035 $a(CKB)4100000002892532 035 $a(DE-He213)978-3-319-78199-0 035 $a(MiAaPQ)EBC6281141 035 $a(MiAaPQ)EBC5591166 035 $a(Au-PeEL)EBL5591166 035 $a(OCoLC)1029606303 035 $a(PPN)225550873 035 $a(EXLCZ)994100000002892532 100 $a20180322d2018 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] $e11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 ? November 1, 2017, Revised Selected Papers /$fedited by Marcello Pelillo, Edwin Hancock 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XII, 582 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v10746 311 $a3-319-78198-7 320 $aIncludes bibliographical references and index. 327 $aClustering and Quantum Methods -- Motion and Tracking -- Image Processing and Segmentation -- Color, Shading and Reflectance of Light -- Propagation and Time-evolution -- Inference, Labeling, and Relaxation. 330 $aThis volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017. The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v10746 606 $aPattern recognition 606 $aArithmetic and logic units, Computer 606 $aOptical data processing 606 $aNumerical analysis 606 $aComputer science?Mathematics 606 $aArtificial intelligence 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArithmetic and Logic Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I12026 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aNumeric Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I1701X 606 $aMath Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17044 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aPattern recognition. 615 0$aArithmetic and logic units, Computer. 615 0$aOptical data processing. 615 0$aNumerical analysis. 615 0$aComputer science?Mathematics. 615 0$aArtificial intelligence. 615 14$aPattern Recognition. 615 24$aArithmetic and Logic Structures. 615 24$aImage Processing and Computer Vision. 615 24$aNumeric Computing. 615 24$aMath Applications in Computer Science. 615 24$aArtificial Intelligence. 676 $a006.37 702 $aPelillo$b Marcello$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHancock$b Edwin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465518603316 996 $aEnergy Minimization Methods in Computer Vision and Pattern Recognition$9772370 997 $aUNISA