Differential Evolution Applied to a Multimodal Information Theoretic Optimization Problem
This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local minima. Three different optimization methods a...
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| creator | Besson, Patricia Vesin, Jean-Marc Popovici, Vlad Kunt, Murat |
| description | This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local minima. Three different optimization methods are compared. The Differential Evolution algorithm is deemed to be the best for the problem at hand and, consequently, is used to perform the speaker detection. |
| doi_str_mv | 10.1007/11732242_46 |
| format | Conference Proceeding |
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As no approximation is used, this function is highly nonlinear and plagued by numerous local minima. Three different optimization methods are compared. The Differential Evolution algorithm is deemed to be the best for the problem at hand and, consequently, is used to perform the speaker detection.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540332374</identifier><identifier>ISBN: 3540332375</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540332383</identifier><identifier>EISBN: 9783540332381</identifier><identifier>DOI: 10.1007/11732242_46</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithmics. Computability. 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As no approximation is used, this function is highly nonlinear and plagued by numerous local minima. Three different optimization methods are compared. The Differential Evolution algorithm is deemed to be the best for the problem at hand and, consequently, is used to perform the speaker detection.</description><subject>Algorithmics. Computability. Computer arithmetics</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Audio Feature</subject><subject>Computer science; control theory; systems</subject><subject>Differential Evolution</subject><subject>Differential Evolution Algorithm</subject><subject>Exact sciences and technology</subject><subject>Mouth Region</subject><subject>Mutual Information</subject><subject>Theoretical computing</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540332374</isbn><isbn>3540332375</isbn><isbn>3540332383</isbn><isbn>9783540332381</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNkDtPwzAYRc1Loi2d-ANZGBgC_mwnjseqLVCpqAxlYIr8BEMSR06KBL-eQEFiutI9R3e4CJ0DvgKM-TUAp4QwUrL8AI1pxjClhBb0EI0gB0gpZeIITQUv_hhnx2iEKSap4IyeonHXvWKMCRdkhJ4W3jkbbdN7WSXL91Dteh-aZNa2lbcm6UMik_td1fs6mMFYNS7EWv442xcbou29TjbtwP3nvn6IQVW2PkMnTladnf7mBD3eLLfzu3S9uV3NZ-u0JSD6VEHBhVRKMoWNBQ6ZyYzSEistGGGG5EYYIZ3LMqwMaJtjAcQqp3muXaHpBF3sd1vZaVm5KBvtu7KNvpbxowQBFEjBBu9y73UDap5tLFUIb10JuPw-tvx3LP0C-Exn0Q</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Besson, Patricia</creator><creator>Vesin, Jean-Marc</creator><creator>Popovici, Vlad</creator><creator>Kunt, Murat</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>Differential Evolution Applied to a Multimodal Information Theoretic Optimization Problem</title><author>Besson, Patricia ; Vesin, Jean-Marc ; Popovici, Vlad ; Kunt, Murat</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-b1879abba4b0de1715d5dbca0bc9424d26d9d9aff550bd1ce60912ebfc76cf8c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Algorithmics. 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Computer arithmetics</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Audio Feature</topic><topic>Computer science; control theory; systems</topic><topic>Differential Evolution</topic><topic>Differential Evolution Algorithm</topic><topic>Exact sciences and technology</topic><topic>Mouth Region</topic><topic>Mutual Information</topic><topic>Theoretical computing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Besson, Patricia</creatorcontrib><creatorcontrib>Vesin, Jean-Marc</creatorcontrib><creatorcontrib>Popovici, Vlad</creatorcontrib><creatorcontrib>Kunt, Murat</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Besson, Patricia</au><au>Vesin, Jean-Marc</au><au>Popovici, Vlad</au><au>Kunt, Murat</au><au>Takagi, Hideyuki</au><au>Drechsler, Rolf</au><au>Romero, Juan</au><au>Branke, Jürgen</au><au>Squillero, Giovanni</au><au>Moore, Jason H.</au><au>Cotta, Carlos</au><au>Machado, Penousal</au><au>Smith, George D.</au><au>Costa, Ernesto</au><au>Lutton, Evelyne</au><au>Rothlauf, Franz</au><au>Cagnoni, Stefano</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Differential Evolution Applied to a Multimodal Information Theoretic Optimization Problem</atitle><btitle>Applications of Evolutionary Computing</btitle><date>2006</date><risdate>2006</risdate><spage>505</spage><epage>509</epage><pages>505-509</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540332374</isbn><isbn>3540332375</isbn><eisbn>3540332383</eisbn><eisbn>9783540332381</eisbn><abstract>This paper discusses the problems raised by the optimization of a mutual information-based objective function, in the context of a multimodal speaker detection. As no approximation is used, this function is highly nonlinear and plagued by numerous local minima. Three different optimization methods are compared. The Differential Evolution algorithm is deemed to be the best for the problem at hand and, consequently, is used to perform the speaker detection.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11732242_46</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Applications of Evolutionary Computing, 2006, p.505-509 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19131284 |
| source | Springer Books |
| subjects | Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Audio Feature Computer science control theory systems Differential Evolution Differential Evolution Algorithm Exact sciences and technology Mouth Region Mutual Information Theoretical computing |
| title | Differential Evolution Applied to a Multimodal Information Theoretic Optimization Problem |
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