Machine Learning and Vectorial Matching for an Image Retrieval Model : EXPRIM and the Systeme RIVAGE
Identifieur interne : 000A23 ( Crin/Curation ); précédent : 000A22; suivant : 000A24Machine Learning and Vectorial Matching for an Image Retrieval Model : EXPRIM and the Systeme RIVAGE
Auteurs : G. Halin ; M. Créhange ; P. KerekesSource :
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Abstract
The paper presents a modelization of vectorial matching associated with the machine-learning process. It then describes the prototype RIVAGE through an object-oriented description of one of the main objects\, : the thesaurus. It closes with an evaluation of it, further to an experimentation by a documentalist and by users.
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="415">Machine Learning and Vectorial Matching for an Image Retrieval Model : EXPRIM and the Systeme RIVAGE</title></titleStmt><publicationStmt><idno type="RBID">CRIN:halin90a</idno><date when="1990" year="1990">1990</date><idno type="wicri:Area/Crin/Corpus">000A23</idno><idno type="wicri:Area/Crin/Curation">000A23</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">000A23</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Machine Learning and Vectorial Matching for an Image Retrieval Model : EXPRIM and the Systeme RIVAGE</title><author><name sortKey="Halin, G" sort="Halin, G" uniqKey="Halin G" first="G." last="Halin">G. Halin</name></author><author><name sortKey="Crehange, M" sort="Crehange, M" uniqKey="Crehange M" first="M." last="Créhange">M. Créhange</name></author><author><name sortKey="Kerekes, P" sort="Kerekes, P" uniqKey="Kerekes P" first="P." last="Kerekes">P. Kerekes</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>image base</term><term>image retrieval model</term><term>machine learning</term><term>vectorial matching</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="977">The paper presents a modelization of vectorial matching associated with the machine-learning process. It then describes the prototype RIVAGE through an object-oriented description of one of the main objects\, : the thesaurus. It closes with an evaluation of it, further to an experimentation by a documentalist and by users.</div></front></TEI><BibTex type="inproceedings"><ref>halin90a</ref><crinnumber>90-R-200</crinnumber><category>3</category><equipe>EXPRIM</equipe><author><e>Halin, G.</e><e>Créhange, M.</e><e>Kerekes, P.</e></author><title>Machine Learning and Vectorial Matching for an Image Retrieval Model : EXPRIM and the Systeme RIVAGE</title><booktitle>{Proceedings ACM 13th International Conference on Research and Development in Information Retrieval, Brussels (Belgium)}</booktitle><year>1990</year><editor>J.-L. Vidick</editor><pages>99-114</pages><month>sep</month><publisher>Presses Universitaires de Bruxelles</publisher><keywords><e>vectorial matching</e><e>machine learning</e><e>image base</e><e>image retrieval model</e></keywords><abstract>The paper presents a modelization of vectorial matching associated with the machine-learning process. It then describes the prototype RIVAGE through an object-oriented description of one of the main objects\, : the thesaurus. It closes with an evaluation of it, further to an experimentation by a documentalist and by users.</abstract></BibTex></record>Pour manipuler ce document sous Unix (Dilib)
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