Boosted Dictionary Learning

The work reported in this paper describes a fascinating joint work with Leslie N. Smith from the Naval Research Laboratory (NRL) in Washington DC. This work proposes two simple yet very effective ways to improve dictionary learning algorithms: (i) improving the dictionary update stage by fixing the supports and seeking the best non-zero values AND the corresponding atoms; and (ii) propagating the pursuit results form one iteration to the next, thereby saving computations. The following freely available package contains all our Matlab code to reproduce the results of the above-mentioned paper.