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Action recognition in video is widely applied in video indexing, intelligent surveillance, multimedia understanding, and other fields. A typical human action contains the spatiotemporal information from various scales. Learning and fusing the multi-temporal-scale information make action...
The existence of noisy samples increases the inefficiency of SVM training. In SVM training, the classification hyperplane is determined by the support vectors, therefore, the other samples do not affect the SVM classifier. This paper presents a novel method that does not use all samples for SVM...
At present, most recommendation approaches used to suggest appreciate items for individual users. However, due to the social nature of human beings, group activities have become an integral part of our daily life, thus the popularity of group recommender systems has increased in the last years....
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