LEADER 01850nam0 22004333i 450 001 VAN0277962 005 20240718035540.318 017 70$2N$a9783030836542 100 $a20240613d2022 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aMulti-Level Bayesian Models for Environment Perception$fCsaba Benedek 210 $aCham$cSpringer$d2022 215 $axiii, 202 p.$cill.$d24 cm 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62P12$xApplications of statistics to environmental and related topics [MSC 2020]$3VANC033424$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 610 $aBayesian Modeling$9KW:K 610 $aComputer vision$9KW:K 610 $aDynamic Scene Analysis$9KW:K 610 $aHierarchical models$9KW:K 610 $aMarked Point Processes$9KW:K 610 $aMarkov random fields$9KW:K 610 $aMulti-level object population analysis$9KW:K 610 $aRemote sensing/photogrammetry$9KW:K 610 $aSpatiotemporal analysis$9KW:K 610 $aStochastic Optimization$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aBenedek$bCsaba$3VANV230499$01222945 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240719$gRICA 856 4 $uhttps://doi.org/10.1007/978-3-030-83654-2$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 $aVAN0277962 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-Book 8830 $e08eMF8830 20240618 996 $aMulti-Level Bayesian Models for Environment Perception$92836951 997 $aUNICAMPANIA