Manifold learning algorithms make an effort to do so underneath the constraint which the learned representation is lower-dimensional. Sparse coding algorithms make an effort to accomplish that beneath the constraint the discovered representation is sparse, meaning that the mathematical model has lots of zeros. Multilinear subspace learning algorith
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