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We may represent human actions as a bag of spatiotemporal visual words extracted from input video sequences. For human action categorization, labeled LDA (L-LDA) is an extension of latent Dirichlet allocation (LDA) by providing action class labels to each video. To handle parameter uncertainty in L-LDA, this paper further extends L-LDA within the type-2 fuzzy set (T2 FS) framework, referred to as...
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