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Pattern recognition applications and...
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Fred, Ana.
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Pattern recognition applications and methods = third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Pattern recognition applications and methods/ edited by Ana Fred, Maria De Marsico, Antoine Tabbone.
Reminder of title:
third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014 : revised selected papers /
remainder title:
ICPRAM 2014
other author:
Fred, Ana.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xvi, 279 p. :ill., digital ;24 cm.
[NT 15003449]:
Multiple 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.
Contained By:
Springer eBooks
Subject:
Pattern perception - Congresses. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-25530-9
ISBN:
9783319255309
Pattern recognition applications and methods = third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014 : revised selected papers /
Pattern recognition applications and methods
third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014 : revised selected papers /[electronic resource] :ICPRAM 2014edited by Ana Fred, Maria De Marsico, Antoine Tabbone. - Cham :Springer International Publishing :2015. - xvi, 279 p. :ill., digital ;24 cm. - Lecture notes in computer science,94430302-9743 ;. - Lecture notes in computer science ;5353..
Multiple 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.
This 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.
ISBN: 9783319255309
Standard No.: 10.1007/978-3-319-25530-9doiSubjects--Topical Terms:
1244093
Pattern perception
--Congresses.
LC Class. No.: Q327
Dewey Class. No.: 006.4
Pattern recognition applications and methods = third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014 : revised selected papers /
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third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014 : revised selected papers /
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edited by Ana Fred, Maria De Marsico, Antoine Tabbone.
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Multiple 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.
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This 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.
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Computer Science (Springer-11645)
based on 0 review(s)
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EB Q327 .I61 2014
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