Research Article

Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent

Figure 4

Results of a synthetic experiment with a dictionary of size 20 × 50. For each of the tested algorithms and for each noise level, 15 trials were performed. Averaged values of learned atoms and corresponding deviation values are displayed.
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