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تعداد نتایج: 1805 فیلتر نتایج به سال:
This paper introduces a novel distance metric learning framework. Working with inequality constraints involving quadruplets of images, our approach aims at efficiently modeling similarity for rich or complex semantic label relationships. We study how our metric learning scheme can be exploited in contexts such as detection of important regions in Webpages or recognition with relative attributes...
In this paper we evaluate the feasibility of estimating the previous distribution of a tree species, the beech, from the analysis of toponyms presently in use and referring to this species. Specialists from toponymy, agromomy and geometics have been involved. Toponyms are a precious source of information about past distribution: more than 6100 toponyms referring to beech have been detected. MOT...
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