On Identifiable Polytope Characterization for Polytopic Matrix Factorization
On Identifiable Polytope Characterization for Polytopic Matrix Factorization
Polytopic matrix factorization (PMF) is a recently introduced matrix decomposition method in which the data vectors are modeled as linear transformations of samples from a polytope. The successful recovery of the original factors in the generative PMF model is conditioned on the "identifiability" of the chosen polytope. In this article, …