Joint multiple dictionary learning for Tensor sparse coding

Traditional dictionary learning algorithms are used for finding a sparse representation on high dimensional data by transforming samples into a one-dimensional (ID) vector. This ID model loses the inherent spatial structure property of data. An alternative solution is to employ Tensor Decomposition ... View More