Sparse Coding for Learning Interpretable Spatio-Temporal Primitives

NeurIPS 2010 Taehwan KimGregory ShakhnarovichRaquel Urtasun

Sparse coding has recently become a popular approach in computer vision to learn dictionaries of natural images. In this paper we extend sparse coding to learn interpretable spatio-temporal primitives of human motion... (read more)

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