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This paper presents a novel representation and matching method for deformable shapes. The proposed approach finds most expressive segments of a deformable shape category called similar and discriminative parts, which is able to distinguish the learned shape class from other groups. And it leads a learning strategy together with a matching algorithm. Then we test our method with MPEG-7 data set.
Equal opportunities for higher education are the practical requirements of “equality before the scores.” China's Extra Credit Policy in the college entrance examination against the education fair, does not conform to the logic of their own education law, should be largely canceled. As for the “disadvantaged” category points can be temporarily retained, but should be a fundamental measure to increase...
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