Result Details

SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT

ŘEZNÍČEK, I.; ZEMČÍK, P.; HEROUT, A.; BERAN, V. SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT. In Proc. of the IADIS Int. Conf. - Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2010, Visual Commun., VC 2010, Web3DW 2010, Part of the MCCSIS 2010. Freiburg im Breissgau: IADIS, 2010. p. 535-538. ISBN: 978-972-8939-22-9.
Type
conference paper
Language
English
Authors
Řezníček Ivo, Ing., Ph.D., DIFS (FIT), DCGM (FIT)
Zemčík Pavel, prof. Dr. Ing., dr. h. c., UAMT (FEEC), DIFS (FIT), DCGM (FIT)
Herout Adam, prof. Ing., Ph.D., DIFS (FIT), DCGM (FIT)
Beran Vítězslav, doc. Ing., Ph.D., DIFS (FIT), DCGM (FIT)
Abstract

Support Vector Machines (SVM) classification is one of the most frequently used classification methods based on
machine learning used today. SVMs, however, are dependent on many parameters and settings and so it is suitable to
perform the learning process in many instances and evaluate what parameters and settings are suitable for each individual
case of data and task. This paper focuses on a novel framework that allows parametric training of SVM classifiers in
parallel computer environment which has certain constraints regarding the resources available to the training task and
duration of it. The framework is introduced and conclusions are drawn.

Keywords

Support Vector Machine, SVM, Sun Grid Engine, dataset, Feature vectors, Parametric training

Annotation

This paper focuses on a novel framework that allows parametric training of SVM classifiers in parallel computer environment which has certain constraints regarding the resources available to the training task and duration of it.

Published
2010
Pages
535–538
Proceedings
Proc. of the IADIS Int. Conf. - Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2010, Visual Commun., VC 2010, Web3DW 2010, Part of the MCCSIS 2010
Conference
IADIS Computer Graphics, Visualization, Computer Vision and Image Processing 2010
ISBN
978-972-8939-22-9
Publisher
IADIS
Place
Freiburg im Breissgau
EID Scopus
2-s2.0-79955139245
BibTeX 
@inproceedings{BUT34829,
  author="Ivo {Řezníček} and Pavel {Zemčík} and Adam {Herout} and Vítězslav {Beran}",
  title="SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT",
  booktitle="Proc. of the IADIS Int. Conf. - Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2010, Visual Commun., VC 2010, Web3DW 2010, Part of the MCCSIS 2010",
  year="2010",
  pages="535--538",
  publisher="IADIS",
  address="Freiburg im Breissgau",
  isbn="978-972-8939-22-9"
}
Projects
Centre of computer graphics, MŠMT, Centra základního výzkumu, LC06008, start: 2006-03-01, end: 2011-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Image and Video Processing Research Group (VZ VIDEO)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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