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Sparse dictionary learning is often a attribute learning system wherever a training instance is represented as being a linear blend of basis functions and assumed for being a sparse matrix. The tactic is strongly NP-difficult and tricky to fix approximately.[70] A popular heuristic technique for sparse dictionary learning would be the k-SVD algorit
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