Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
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DOI: 10.1109/tsp.2019.2952046
Abstract: This work addresses the problem of learning sparse representations of tensor data using structured dictionary learning. It proposes learning a mixture of separable dictionaries to better capture the structure of tensor data by generalizing the… read more here.
Keywords: mixtures separable; tensor data; learning mixture; separable dictionaries ... See more keywords