Score Function Features for Discriminative Learning: Matrix and Tensor Framework

9 Dec 2014Majid JanzaminHanie SedghiAnima Anandkumar

Feature learning forms the cornerstone for tackling challenging learning problems in domains such as speech, computer vision and natural language processing. In this paper, we consider a novel class of matrix and tensor-valued features, which can be pre-trained using unlabeled samples... (read more)

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