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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
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338 _aonline resource
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;
_v9443
_aLecture Notes in Computer Science
_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 _aPattern recognition.
650 0 _aOptical data processing.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aComputer simulation.
650 0 _aComputational intelligence.
650 1 4 _aPattern Recognition.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
650 2 4 _aImage Processing and Computer Vision.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I22021
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aComputer Graphics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I22013
650 2 4 _aSimulation and Modeling.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I19000
650 2 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
700 1 _aFred, Ana.
_eeditor.
_4edt
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700 1 _aDe Marsico, Maria.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTabbone, Antoine.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319255293
776 0 8 _iPrinted edition:
_z9783319255316
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;
_v9443
830 0 _aLecture Notes in Computer Science ;
_v9443
856 4 0 _uhttps://doi.org/10.1007/978-3-319-25530-9
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