LEADER 01415nam 2200445 450 001 9910513688503321 005 20230428102634.0 010 $a3-030-89180-1 035 $a(MiAaPQ)EBC6825143 035 $a(Au-PeEL)EBL6825143 035 $a(CKB)20106382900041 035 $a(PPN)259390801 035 $a(EXLCZ)9920106382900041 100 $a20220828d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a3D point cloud analysis $etraditional, deep learning, and explainable machine learning methods /$fShan Liu, 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dŠ2021 215 $a1 online resource (156 pages) 311 08$aPrint version: Liu, Shan 3D Point Cloud Analysis Cham : Springer International Publishing AG,c2022 9783030891794 320 $aIncludes bibliographical references and index. 606 $aVisiķ per ordinador$2thub 606 $aAprenentatge automātic$2thub 606 $aMachine learning 615 7$aVisiķ per ordinador 615 7$aAprenentatge automātic 615 0$aMachine learning. 676 $a006.37 700 $aLiu$b Songbin$01254462 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910513688503321 996 $a3D point cloud analysis$92908512 997 $aUNINA