About: Classifier creation framework for diverse classification tasks

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This software package contains the extendable framework for classifiers creation of various tasks. The only requirements for input object type is ability to be converted to set of feature vectors, the rest of computing is done by framework, finally the classifier is created. The framework can be used for clasifiers creation using training part of dataset and then do the testing on testing part and thus show the classifier accuracy. The framework consists of several basic parts which are replaceable such as feature extractor, codebook generator, codebook translator and classification technique. Sample applications of these are included. The whole process can be computed on local computer or in Sun Grid Engine schedulling system. The software package contains the framework files, sample feature extractor, sample classification technique and the particular documentation of system setup and the user guide. This software package contains the extendable framework for classifiers creation of various tasks. The only requirements for input object type is ability to be converted to set of feature vectors, the rest of computing is done by framework, finally the classifier is created. The framework can be used for clasifiers creation using training part of dataset and then do the testing on testing part and thus show the classifier accuracy. The framework consists of several basic parts which are replaceable such as feature extractor, codebook generator, codebook translator and classification technique. Sample applications of these are included. The whole process can be computed on local computer or in Sun Grid Engine schedulling system. The software package contains the framework files, sample feature extractor, sample classification technique and the particular documentation of system setup and the user guide. (en)
Title	Classifier creation framework for diverse classification tasks Classifier creation framework for diverse classification tasks (en)
skos:prefLabel	Classifier creation framework for diverse classification tasks Classifier creation framework for diverse classification tasks (en)
skos:notation	RIV/00216305:26230/10:PR25164!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Zemčík, Pavel Bařina, David Řezníček, Ivo Hradiš, Michal
http://linked.open.../riv/druhVysledku	R - Software
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	250918
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/10:PR25164
http://linked.open...terniIdentifikace	FrameworkFDivClassificationTasks
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	framework, feature extractors, linear SVM, SGE (en)
http://linked.open.../riv/klicoveSlovo	framework SGE feature extractors linear SVM
http://linked.open...ontrolniKodProRIV	[42C2825A30BA]
http://linked.open...okalizaceVysledku	http://www.fit.vutbr.cz/research/prod/index.php.cs?id=155
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...echnickeParametry	Pro podrobnosti licenčních podmínek konzultujte: Ing. Vladimír Pavelka, Útvar transferu technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 499
http://linked.open...iv/tvurceVysledku	Zemčík, Pavel Bařina, David Řezníček, Ivo Hradiš, Michal
http://linked.open...avai/riv/vlastnik	Vysoké učení technické v Brně
http://linked.open...itiJinymSubjektem	N - Nabytí licence není nutné (výsledek není licencován)
http://localhost/t...ganizacniJednotka	26230

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