Sparse dictionary learning is a feature learning method that represents input data as sparse combinations of learned basis elements. It aims to discover both the dictionary of basic elements and the compact representations that reconstruct the data effectively.
(Also sparse coding or SDL.) A feature learning method aimed at finding a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves.