Bayesian Inference for Nonnegative Matrix Factorisation Models
Figure 6
Results of a typical run. (a) Example images from the dataset.
(b) Comparison of the reconstruction accuracy of different methods in
terms of SNR (in dB), organised according to the sparseness of the solution.
(c) (from left to right). The ground truth, data with missing pixels. The
reconstructions of VB, VB + ICM, and ML-NMF with two initialisation strategies
(1 = random, 2 = to image).
