发明名称 ADAPTIVELY LEARNING A SIMILARITY MODEL
摘要 A method, system, and computer-readable storage medium for computing a representation of similarity among items in a set of items. Computing a representation of similarity items may comprise generating a first similarity model that represents characteristics of the set of items, the characteristics being indicative of similarity among the items in the set of items. Additionally, computing the representation of similarity may comprise adaptively selecting a subset of the set of items for similarity evaluation based on the first similarity model, receiving a similarity evaluation for the adaptively-selected subset of items, and generating a second similarity model based on the first to similarity model and the received similarity evaluation.
申请公布号 US2012296900(A1) 申请公布日期 2012.11.22
申请号 US201113113018 申请日期 2011.05.20
申请人 KALAI ADAM T.;TAMUZ OMER;LIU CE;SHAMIR OHAD;BELONGIE SERGE J.;MICROSOFT CORPORATION 发明人 KALAI ADAM T.;TAMUZ OMER;LIU CE;SHAMIR OHAD;BELONGIE SERGE J.
分类号 G06F17/30 主分类号 G06F17/30
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