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Manifold learning algorithms attempt to accomplish that underneath the constraint that the acquired representation is very low-dimensional. Sparse coding algorithms make an effort to do so beneath the constraint which the discovered representation is sparse, which means the mathematical design has a lot of zeros. Multilinear subspace learning algor