LEADER 02198nam0 22005293i 450 001 VAN00274505 005 20240806101539.921 017 70$2N$a9783030891800 100 $a20240408d2021 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $a3D Point Cloud Analysis$eTraditional, Deep Learning, and Explainable Machine Learning Methods$fShan Liu ... [et al.] 210 $aCham$cSpringer$d2021 215 $axiv, 146 p.$cill.$d24 cm 606 $a68-XX$xComputer science [MSC 2020]$3VANC019670$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 606 $a68T07$xArtificial neural networks and deep learning [MSC 2020]$3VANC036862$2MF 606 $a68T45$xMachine vision and scene understanding [MSC 2020]$3VANC023428$2MF 610 $a3D computer vision$9KW:K 610 $a3D object detection$9KW:K 610 $a3D object recognition$9KW:K 610 $aDeep Learning$9KW:K 610 $aExplainable machine learning$9KW:K 610 $aMachine learning$9KW:K 610 $aModelNet40$9KW:K 610 $aPoint cloud analysis$9KW:K 610 $aPoint cloud classification$9KW:K 610 $aPoint cloud part segmentation$9KW:K 610 $aPoint cloud registration$9KW:K 610 $aPointHop$9KW:K 610 $aR-PointHop$9KW:K 610 $aSaab transform$9KW:K 610 $aShapeNet$9KW:K 610 $aSuccessive subspace learning$9KW:K 610 $aUnsupervised learning$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aLiu$bShan$3VANV226936 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241115$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-89180-0$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 $aVAN00274505 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 8113 $e08eMF8113 20240412 996 $a3D Point Cloud Analysis$94148951 997 $aUNICAMPANIA LEADER 02284nam0 22004453i 450 001 VAN00268244 005 20240806101524.908 017 70$2N$a9781468493528 100 $a20231130d1978 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aStochastic Approximation Methods for Constrained and Unconstrained Systems$fHarold J. Kushner, Dean S. Clark 210 $aNew York$cSpringer-Verlag$d1978 215 $ax, 263 p.$cill.$d24 cm 410 1$1001VAN00023717$12001 $aApplied mathematical sciences$1210 $aBerlin [etc]$cSpringer$d1971-$v26 606 $a34Fxx$xOrdinary differential equations and systems with randomness [MSC 2020]$3VANC028778$2MF 606 $a41A65$xAbstract approximation theory (approximation in normed linear spaces and other abstract spaces) [MSC 2020]$3VANC021234$2MF 606 $a60-XX$xProbability theory and stochastic processes [MSC 2020]$3VANC020428$2MF 606 $a60H10$xStochastic ordinary differential equations [MSC 2020]$3VANC020682$2MF 606 $a60H15$xStochastic partial differential equations (aspects of stochastic analysis) [MSC 2020]$3VANC021488$2MF 606 $a62L20$xStochastic approximation [MSC 2020]$3VANC031459$2MF 606 $a93E10$xEstimation and detection in stochastic control theory [MSC 2020]$3VANC024586$2MF 610 $aParameter$9KW:K 610 $aPower$9KW:K 610 $aProbability$9KW:K 610 $aRank$9KW:K 610 $aStochastic Approximations$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aKushner$bHarold J.$3VANV045330$048432 701 1$aClark$bDean S.$3VANV220373$048433 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250606$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4684-9352-8$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 $aVAN00268244 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 7421 $e08eMF7421 20231204 996 $aStochastic approximation methods for constrained and unconstrained systems$9355506 997 $aUNICAMPANIA