LEADER 03178nam 22005535 450 001 9910254598703321 005 20200630074452.0 010 $a3-319-61878-4 024 7 $a10.1007/978-3-319-61878-4 035 $a(CKB)3710000001631577 035 $a(MiAaPQ)EBC4935688 035 $a(DE-He213)978-3-319-61878-4 035 $a(PPN)203851420 035 $a(EXLCZ)993710000001631577 100 $a20170802d2017 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aBMS Particles in Three Dimensions /$fby Blagoje Oblak 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (461 pages) 225 1 $aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 300 $a"Doctoral Thesis accepted by Free University of Brussels, Belgium." 311 $a3-319-61877-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Part I: Quantum Symmetries -- Quantum Mechanics and Central Extensions -- Induced Representations --  Semi-direct Products -- Coadjoint Orbits and Geometric Quantization -- Part II: Virasoro Symmetry and AdS3 Gravity -- The Virasoro Group -- Virasoro Coadjoint Orbits -- Symmetries of Gravity in AdS3 -- Part III: BMS3 Symmetry and Gravity in Flat Space -- Classical BMS3 Symmetry -- Quantum BMS3 Symmetry -- Partition Functions and Characters -- Conclusions. 330 $aThis thesis presents the state of the art in the study of Bondi-Metzner-Sachs (BMS) symmetry and its applications in the simplified setting of three dimensions. It focuses on presenting all the background material in a pedagogical and self-contained manner to enable readers to fully appreciate the original results that have been obtained while learning a number of fundamental concepts in the field along the way. This makes it a highly rewarding read and a perfect starting point for anybody with a serious interest in the four-dimensional problem. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aGravitation 606 $aCosmology 606 $aMathematical physics 606 $aClassical and Quantum Gravitation, Relativity Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P19070 606 $aCosmology$3https://scigraph.springernature.com/ontologies/product-market-codes/P22049 606 $aMathematical Applications in the Physical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13120 615 0$aGravitation. 615 0$aCosmology. 615 0$aMathematical physics. 615 14$aClassical and Quantum Gravitation, Relativity Theory. 615 24$aCosmology. 615 24$aMathematical Applications in the Physical Sciences. 676 $a539.725 700 $aOblak$b Blagoje$4aut$4http://id.loc.gov/vocabulary/relators/aut$0818712 906 $aBOOK 912 $a9910254598703321 996 $aBMS Particles in Three Dimensions$91825257 997 $aUNINA LEADER 03766nam 22007695 450 001 9910484781303321 005 20251225211033.0 010 $a3-319-59876-7 024 7 $a10.1007/978-3-319-59876-5 035 $a(CKB)4340000000061564 035 $a(DE-He213)978-3-319-59876-5 035 $a(MiAaPQ)EBC5590944 035 $a(PPN)202990796 035 $a(EXLCZ)994340000000061564 100 $a20170601d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImage Analysis and Recognition $e14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5?7, 2017, Proceedings /$fedited by Fakhri Karray, Aurélio Campilho, Farida Cheriet 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVII, 673 p. 293 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v10317 300 $aIncludes index. 311 08$a3-319-59875-9 327 $aMachine learning in image recognition -- Machine learning for medical image computing -- Image enhancement and reconstruction -- Image segmentation -- Motion and tracking -- 3D computer vision -- Feature extraction -- Detection and classification -- Biomedical image analysis -- Image analysis in ophthalmology -- Remote sensing -- Applications. 330 $aThis book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017. The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v10317 606 $aComputer vision 606 $aComputers and civilization 606 $aArtificial intelligence 606 $aData mining 606 $aData protection 606 $aData structures (Computer science) 606 $aInformation theory 606 $aComputer Vision 606 $aComputers and Society 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aData and Information Security 606 $aData Structures and Information Theory 615 0$aComputer vision. 615 0$aComputers and civilization. 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aData protection. 615 0$aData structures (Computer science). 615 0$aInformation theory. 615 14$aComputer Vision. 615 24$aComputers and Society. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aData and Information Security. 615 24$aData Structures and Information Theory. 676 $a006.37 702 $aKarray$b Fakhri$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCampilho$b Aurélio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCheriet$b Farida$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484781303321 996 $aImage Analysis and Recognition$9772474 997 $aUNINA