LEADER 01382nas 2200457- 450 001 9910133239903321 005 20160425044927.5 011 $a2327-2929 035 $a(DE-599)ZDB2912703-8 035 $a(OCoLC)60625957 035 $a(CKB)110978977969884 035 $a(CONSER)--2013201069 035 $a(EXLCZ)99110978977969884 100 $a20050614a19489999 --- a 101 0 $aeng 135 $aurun||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAliso $ea journal of systematic and evolutionary botany 210 1$aClaremont, Calif. :$cRancho Santa Ana Botanic Garden,$d1948- 300 $aRefereed/Peer-reviewed 311 08$a0065-6275 531 $aALISO A JOURNAL OF TAXONOMIC AND EVOLUTIONARY BOTANY 531 0 $aAliso 606 $aPlants$zCalifornia$vPeriodicals 606 $aPlants$xClassification$vPeriodicals 606 $aPlants$2fast$3(OCoLC)fst01065823 606 $aPlants$xClassification$2fast$3(OCoLC)fst01065839 607 $aCalifornia$2fast 608 $aPeriodicals.$2fast 615 0$aPlants 615 0$aPlants$xClassification 615 7$aPlants. 615 7$aPlants$xClassification. 676 $a581.9794 712 02$aRancho Santa Ana Botanic Garden. 906 $aJOURNAL 912 $a9910133239903321 996 $aAliso$92165436 997 $aUNINA LEADER 02727nam 2200781z- 450 001 9910557522603321 005 20220111 035 $a(CKB)5400000000044353 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76783 035 $a(oapen)doab76783 035 $a(EXLCZ)995400000000044353 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine Learning in Image Analysis and Pattern Recognition 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (112 p.) 311 08$a3-0365-1714-6 311 08$a3-0365-1713-8 330 $aThis book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition. 606 $aInformation technology industries$2bicssc 610 $aaction recognition 610 $aaphid 610 $aAphoidea 610 $aautomated image coding 610 $abag-to-class 610 $aBI-RADS 610 $abreast cancer mammogram dataset 610 $aclassification 610 $aclinical data 610 $adata collection methods 610 $adataset 610 $adeep learning 610 $adetection 610 $adissimilarity 610 $adivergence 610 $afermentation 610 $aimage classification 610 $aimage processing 610 $aimage segmentation 610 $ainterdisciplinary learning theory 610 $ainternet of things 610 $aKullback-Leibler 610 $alemon 610 $amachine learning 610 $amulti-instance learning 610 $aplant disease recognition 610 $aresearch methods 610 $asegment-based temporal modeling 610 $asystematic literature review 610 $atea 610 $atwo-stream network 610 $aultrasound breast cancer scans 610 $avisitor use management 615 7$aInformation technology industries 700 $aKumar$b Munish$4edt$01312703 702 $aSharma$b R. K$4edt 702 $aSethi$b Ishwar$4edt 702 $aKumar$b Munish$4oth 702 $aSharma$b R. K$4oth 702 $aSethi$b Ishwar$4oth 906 $aBOOK 912 $a9910557522603321 996 $aMachine Learning in Image Analysis and Pattern Recognition$93030932 997 $aUNINA