LEADER 02983nam0 22006853i 450 001 VAN0265397 005 20240104021503.891 010 $a978-16-11-97640-3 100 $a20231026d2021 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aNonnegative matrix factorization$fNicolas Gillis 210 $aPhiladelphia$cSIAM$d2021 215 $axix, 350 p.$cill.$d26 cm 410 1$1001VAN0258348$12001 $aData science book series$1210 $aPhiladelphia$cSIAM$v2 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a15B48$xPositive matrices and their generalizations; cones of matrices [MSC 2020]$3VANC019936$2MF 606 $a15-XX$xLinear and multilinear algebra; matrix theory [MSC 2020]$3VANC020607$2MF 606 $a68T10$xPattern recognition, speech recognition [MSC 2020]$3VANC020788$2MF 606 $a15A23$xFactorization of matrices [MSC 2020]$3VANC023159$2MF 606 $a68T09$xComputational aspects of data analysis and big data [MSC 2020]$3VANC035916$2MF 606 $a65F55$xNumerical methods for low-rank matrix approximation; matrix compression [MSC 2020]$3VANC037610$2MF 610 $aComputational complexity$9KW:K 610 $aDictionary learning$9KW:K 610 $aGene expression analysis$9KW:K 610 $aHyperspectral Imaging$9KW:K 610 $aMatrix Factorization$9KW:K 610 $aNon-linear optimization$9KW:K 610 $aNonnegative matrix factorization$9KW:K 610 $aPrincipal component analysis$9KW:K 610 $aRecommender systems$9KW:K 610 $aSingular value decomposition$9KW:K 610 $aSparsity$9KW:K 610 $aaudio source separation$9KW:K 610 $abeta-divergences$9KW:K 610 $ablind source separation$9KW:K 610 $ablock coordinate descent methods$9KW:K 610 $acommunication complexity$9KW:K 610 $aextended formulations$9KW:K 610 $afeature extraction$9KW:K 610 $aidentifiability$9KW:K 610 $alinear dimensionality reduction$9KW:K 610 $alow-rank matrix approximations$9KW:K 610 $amultiplicative updates$9KW:K 610 $anested polytope problem$9KW:K 610 $anonnegative rank$9KW:K 610 $aself-modeling curve resolution$9KW:K 610 $aseparability$9KW:K 610 $atopic modeling$9KW:K 620 $dPhiladelphia$3VANL000037 700 1$aGillis$bNicolas$3VANV218746$01430938 712 $aSIAM $3VANV108794$4650 801 $aIT$bSOL$c20240531$gRICA 856 4 $u/sebina/repository/catalogazione/documenti/GILLIS.pdf$zGILLIS.pdf 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $aVAN0265397 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST 68-XX 1598 $e08DMF826 I 20231026 996 $aNonnegative matrix factorization$93571190 997 $aUNICAMPANIA LEADER 01917nam0 22003973i 450 001 VAN0253455 005 20230621034001.664 017 70$2N$a9783034862417 100 $a20230119d1984 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aAlgebraic Methods for Toeplitz-like Matrices and Operators$fGeorg Heinig, Karla Rost 210 $aBasel$cSpringer$d1984 215 $a212 p.$d24 cm 410 1$1001VAN0036604$12001 $aOperator theory: advances and applications$1210 $aBasel [etc.]$cBirkhäuser$v13 500 1$3VAN0253456$aAlgebraic Methods for Toeplitz-like Matrices and Operators$93001946 606 $a15-XX$xLinear and multilinear algebra; matrix theory [MSC 2020]$3VANC020607$2MF 606 $a47B35$xToeplitz operators, Hankel operators, Wiener-Hopf operators [MSC 2020]$3VANC021218$2MF 606 $a15B57$xHermitian, skew-Hermitian, and related matrices [MSC 2020]$3VANC023160$2MF 606 $a65F05$xDirect numerical methods for linear systems and matrix inversion [MSC 2020]$3VANC027309$2MF 610 $aAlgebra$9KW:K 610 $aAlgebraic methods$9KW:K 610 $aMatrices$9KW:K 620 $dBasel$3VANL002076 700 1$aHeinig$bGeorg$3VANV206647$059042 701 1$aRost$bKarla$3VANV206648$059043 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-0348-6241-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0253455 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 5042 $e08eMF5042 20230119 996 $aAlgebraic Methods for Toeplitz-like Matrices and Operators$93001946 997 $aUNICAMPANIA