LEADER 02693oam 2200481 450 001 996418314303316 005 20210609145413.0 010 $a3-030-66125-3 024 7 $a10.1007/978-3-030-66125-0 035 $a(CKB)4100000011679194 035 $a(DE-He213)978-3-030-66125-0 035 $a(MiAaPQ)EBC6438467 035 $a(PPN)252514858 035 $a(EXLCZ)994100000011679194 100 $a20210609d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPattern recognition applications and methods $e9th international conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers /$fMaria De Marsico, Gabriella Sanniti di Baja, Ana Fred (editors) 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (XI, 139 p. 46 illus., 41 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v12594 311 $a3-030-66124-5 327 $aEnd to End Deep Neural Network Classifier Design for Universal Sign Recognition -- MaskADNet: MOTS based on ADNet -- Dimensionality Reduction and Attention Mechanisms for Extracting -- Efficient Radial Distortion Correction for Planar Motion -- Comparison of algorithms for Tree-top detection in Drone image mosaics of Japanese Mixed Forests -- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning -- Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. 330 $aThis book contains revised and extended versions of selected papers from the 9th International Conference on Pattern Recognition, ICPRAM 2020, held in Valletta, Malta, in February 2020. The 7 full papers presented were carefully reviewed and selected from 102 initial submissions. The papers describe applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and theoretical studies yielding new insights that advance pattern recognition methods are especially encouraged. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v12594 606 $aPattern perception$vCongresses 615 0$aPattern perception 676 $a006.4 702 $aDe Marsico$b Maria 702 $aSanniti di Baja$b Gabriella 702 $aFred$b Ana 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996418314303316 996 $aPattern Recognition Applications and Methods$91412182 997 $aUNISA