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Document Date: 2003-05-21 10:30:05Open Document File Size: 394,44 KBShare Result on FacebookCityEnschede / Annotation / Toronto / Boston / /CompanyOriginal Annotation Modified Annotation / IEEE Intelligent Systems / Correlation LDA / Multimedia Systems / /CountryJordan / Netherlands / Canada / Korea / /CurrencyUSD / /EventProduct Issues / Product Recall / /FacilityIntelligent Information Retrieval Computer Science Department University of Massachusetts Amherst / University of Twente / /IndustryTermtext retrieval systems / image retrieval systems / purpose segmentation algorithms / cross-media relevance models / web search engines / fixed annotation-based cross-media relevance model / machinery / cross-media relevance model / cross-media language model / typical segmentation algorithm / direct-retrieval cross-media relevance model / /MarketIndexset 500 / set 4500 / /OrganizationGovernment of Korea / University of Twente / National Science Foundation / R. Manmatha Center / Intelligent Information Retrieval Computer Science Department University of Massachusetts Amherst / Center for Intelligent Information Retrieval / Pattern Analysis and Machine Intelligence / /PersonS. D. Pietra / V / Models J. Jeon / V / /Positionauthor / Recognition General / Co-occurrence Model / the Translation Model and FACMRM / judge / /Productmean precision / given query / Original Annotation Modified Annotation Recall Precision / 0.46 0.5 0.71 Sunset 0.00 0.00 0.57 0.21 Table / /ProvinceOrStateMassachusetts / /PublishedMediumIEEE Transactions on Pattern Analysis and Machine Intelligence / IEEE Intelligent Systems / Computational Linguistics / Journal of Machine Learning Research / Lecture Notes in Computer Science / /Technologymachine translation / ASCII / K-means clustering algorithm / clustering algorithm / machine learning / EM algorithm / Image Processing / typical segmentation algorithm / purpose segmentation algorithms / /URLhttp /SocialTag |