Research Article

Probabilistic Latent Variable Models as Nonnegative Factorizations

Figure 5

Example of the effect of the entropic prior on a set of kernel and impulse distributions. If no constraint is imposed, the information is evenly distributed among the two distributions (left column), if sparsity is imposed on the impulse distribution, most information lies in the kernel distribution (middle column), and vice verse if we request a sparse kernel distribution (right column).
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