LEADER 04880nam 22008055 450 001 9910484751303321 005 20200705034310.0 010 $a3-319-25530-4 024 7 $a10.1007/978-3-319-25530-9 035 $a(CKB)4340000000001173 035 $a(SSID)ssj0001585408 035 $a(PQKBManifestationID)16264959 035 $a(PQKBTitleCode)TC0001585408 035 $a(PQKBWorkID)14865654 035 $a(PQKB)10425778 035 $a(DE-He213)978-3-319-25530-9 035 $a(MiAaPQ)EBC5578547 035 $a(PPN)19052913X 035 $a(EXLCZ)994340000000001173 100 $a20151119d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPattern Recognition Applications and Methods $eThird International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers /$fedited by Ana Fred, Maria De Marsico, Antoine Tabbone 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XVI, 279 p. 136 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9443 300 $aIncludes index. 311 $a3-319-25529-0 327 $aMultiple Image Segmentation -- Aggregation of Biclustering Solutions for Ensemble Approach -- Fuzzy C-Means Stereo Segmentation -- SCHOG Feature for Pedestrian Detection -- Learning Prior Bias in Classifier -- Intra-class Variance among Multiple Samples of the Same Person?s Fingerprint in a Cooperative User Scenario -- Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines -- An Empirical Comparison of Support Vector Machines versus Nearest Neighbour Methods for Machine Learning Applications -- Improving the Detection of Relations between Objects in an Image using Textual Semantics -- A ToF-based Approach to 3D Reconstruction of Isometric Surfaces -- Segmentation of Tomatoes in Open Field Images with Shape and Temporal Constraints -- Fast and Accurate Pedestrian Detection in a Truck?s Blind Spot Camera -- Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection -- An Efficient Shape Feature Extraction, Description and Matching Method using GPU -- Utilization of Multiple Sequence Analyzers for Bibliographic Information Extraction. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Pattern Recognition, ICPRAM 2014, held in Angers, France, in March 2014. The 18 revised full papers were carefully reviewed and selected from 179 submissions and describe up-to-date applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9443 606 $aPattern recognition 606 $aOptical data processing 606 $aArtificial intelligence 606 $aComputer graphics 606 $aComputer simulation 606 $aComputational intelligence 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 0$aComputer simulation. 615 0$aComputational intelligence. 615 14$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 615 24$aSimulation and Modeling. 615 24$aComputational Intelligence. 676 $a006.4 702 $aFred$b Ana$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDe Marsico$b Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTabbone$b Antoine$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484751303321 996 $aPattern Recognition Applications and Methods$91412182 997 $aUNINA