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Sparse dictionary learning is actually a characteristic learning strategy where by a instruction example is represented as a linear blend of foundation capabilities and assumed for being a sparse matrix. The strategy is strongly NP-challenging and hard to fix roughly.[70] A preferred heuristic process for sparse dictionary learning would be the k-S