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In this paper we present two algorithms for efficient person recognition operating upon motion capture data, depicting persons performing various everyday activities. The first approach is driven from the assumption that, if two motion sequences depict a certain activity performed by the same person, then, consecutive frames (poses) of one sequence are expected to be similar to consecutive frames...
In this paper a novel method is introduced for propagating label information on data with multiple representations. The method performs dimensionality reduction of the data by calculating a projection matrix that preserves locality information and a priori pairwise information, in the form of must-link and cannot-link constraints between the various data representations. The final data representations...
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