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Recently, maximum margin clustering (MMC) has been proposed for a cross-view action recognition. However, such a method neglects the temporal relationship between contiguous frames in the same action video. In this paper we propose a novel method called contextual maximum margin clustering (CMMC) to tackle cross-view action recognition. In CMMC, we add temporal regularization to give a high penalty...
Recently, attributes have been introduced to help object classification. Multi-task learning is an effective methodology to achieve this goal, which shares low-level features between attribute and object classifiers. Yet such a method neglects the constraints that attributes impose on classes which may fail to constrain the semantic relationship between the attribute and object classifiers. In this...
Since hyper-sphere SVM treat all samples equally, its performance is lower when distribution of the training examples is uneven. How to eliminate the influence of the uneven class sizes is important for the resulting classifier. To solve this problem, we present a new weighted hyper-sphere SVM based on the analysis of performance influence caused by the class size. Experimental results show that our...
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