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001 978-3-319-25530-9
003 DE-He213
005 20170515111913.0
007 cr nn 008mamaa
008 151119s2015 gw | s |||| 0|eng d
020 _a9783319255309
_9978-3-319-25530-9
024 7 _a10.1007/978-3-319-25530-9
_2doi
050 4 _aQ337.5
050 4 _aTK7882.P3
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.4
_223
245 1 0 _aPattern Recognition Applications and Methods
_h[electronic resource] :
_bThird International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers /
_cedited by Ana Fred, Maria De Marsico, Antoine Tabbone.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXVI, 279 p. 136 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9443
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 0 _aComputer graphics.
650 0 _aImage processing.
650 0 _aPattern recognition.
650 0 _aComputational intelligence.
650 1 4 _aComputer Science.
650 2 4 _aPattern Recognition.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputer Graphics.
650 2 4 _aSimulation and Modeling.
650 2 4 _aComputational Intelligence.
700 1 _aFred, Ana.
_eeditor.
700 1 _aDe Marsico, Maria.
_eeditor.
700 1 _aTabbone, Antoine.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319255293
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9443
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-25530-9
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _2ddc
_cEB
950 _aComputer Science (Springer-11645)
999 _c22390
_d22390