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Periodic transitions from place to place are inherent in human movements. Through visual examination we detect these periodic movements in traces of user tracking data. However such user tracking data sets tend to be sparse and incomplete. In addition, periodic movements are surrounded by noise: transitions to and from less frequently visited places and transitions to one of a kind visits. In this...
Almost all unbalanced classification algorithms focus on how to maximize the balance degree of the data set, which means to remove those negative samples that are useless for classifier training while keeping the positive samples and useful samples as many as possible. However, we find that the best balance degree is not necessary with the highest classification accuracy. In this paper, we propose...
Rotten and greasy coating on tongue is one of the most salient features reflecting inner health of body, which is widely used in observe diagnosis in Traditional Chinese Medicine (TCM). This paper is mainly concentrated on the classification of two tongue coating states: rotten and greasy. As it is an unbalanced classification and texture recognition problem, method of random oversampling, Gabor feature...
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