LEADER 00975nam--2200349---450- 001 990006068200203316 005 20150902150850.0 010 $a978-88-04-65032-4 035 $a000606820 035 $aUSA01000606820 035 $a(ALEPH)000606820USA01 035 $a000606820 100 $a20150902d2015----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $aManuale del viaggiatore goloso$fRoberto Perrone 210 $aMilano$cMondadori$d2015 215 $a544 p.$d23 cm 225 2 $aScrittori italiani 410 0$aScrittori italiani 606 0 $aRistoranti$xItalia$yGuide$2BNCF 676 $a641.0130945 700 1$aPERRONE,$bRoberto$0620809 801 0$aIT$bsalbc$gISBD 912 $a990006068200203316 951 $aIII.1. 3719$b10865 L.M.$cIII.1.$d345614 959 $aBK 969 $aUMA 979 $aCHIARA$b90$c20150902$lUSA01$h1508 996 $aManuale del viaggiatore goloso$91101695 997 $aUNISA LEADER 00798nam0-2200277 --450 001 9911017580003321 005 20250808072925.0 010 $a9791222305479 100 $a20250808d2024----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $ay 001yy 200 1 $aPresente continuo$ediscografia della musica contemporanea$fFederico Capitoni 210 $aMilano$aUdine$cMimesis$d2024 215 $a398 p.$d21 cm 225 1 $aMimesis$iMusica contemporanea$v42 610 0 $aMusica$aSec. 20.$aDiscografie 676 $a016.780266 700 1$aCapitoni,$bFederico$0714896 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9911017580003321 952 $aMUSICA B 61$b541/2025$fFARBC 959 $aFARBC 996 $aPresente continuo$94413717 997 $aUNINA LEADER 03907nam 22006015 450 001 9910484472803321 005 20251113211035.0 010 $a3-319-74830-0 024 7 $a10.1007/978-3-319-74830-6 035 $a(CKB)4100000004836172 035 $a(DE-He213)978-3-319-74830-6 035 $a(MiAaPQ)EBC5434501 035 $a(PPN)229497144 035 $a(EXLCZ)994100000004836172 100 $a20180620d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeometric Algebra Applications Vol. I $eComputer Vision, Graphics and Neurocomputing /$fby Eduardo Bayro-Corrochano 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXXIII, 742 p. 262 illus., 151 illus. in color.) 311 08$a3-319-74828-9 327 $aFundamentals of Geometric Algebra -- Euclidean, Pseudo-Euclidean Geometric Algebra, Incidence Algebra and Conformal Geometric Algebras -- Geometric Computing for Image Processing, Computer Vision, and Neural Computing -- Machine Learning -- Applications of Geometric Algebra in Image Processing, Graphics and Computer Vision -- Applications of GA in Machine Learning -- Appendix. 330 $aThe goal of the Volume I Geometric Algebra for Computer Vision, Graphics and Neural Computing is to present a unified mathematical treatment of diverse problems in the general domain of artificial intelligence and associated fields using Clifford, or geometric, algebra. Geometric algebra provides a rich and general mathematical framework for Geometric Cybernetics in order to develop solutions, concepts and computer algorithms without losing geometric insight of the problem in question. Current mathematical subjects can be treated in an unified manner without abandoning the mathematical system of geometric algebra for instance: multilinear algebra, projective and affine geometry, calculus on manifolds, Riemann geometry, the representation of Lie algebras and Lie groups using bivector algebras and conformal geometry. By treating a wide spectrum of problems in a common language, this Volume I offers both new insights and new solutions that should be useful to scientists, and engineers working in different areas related with the development and building of intelligent machines. Each chapter is written in accessible terms accompanied by numerous examples, figures and a complementary appendix on Clifford algebras, all to clarify the theory and the crucial aspects of the application of geometric algebra to problems in graphics engineering, image processing, pattern recognition, computer vision, machine learning, neural computing and cognitive systems. 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aDynamics 606 $aNonlinear theories 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aApplied Dynamical Systems 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aDynamics. 615 0$aNonlinear theories. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aApplied Dynamical Systems. 676 $a006.3 700 $aBayro-Corrochano$b Eduardo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0863860 906 $aBOOK 912 $a9910484472803321 996 $aGeometric Algebra Applications Vol. I$92852727 997 $aUNINA