Iterative Atom Refinement: A Monotonicity Principle for Dictionary Learning
This work introduces the Iterative Atom Refinement algorithm, a simple procedure for recovering individual dictionary atoms, and presents a rigorous convergence theory of IAR, showing that a small initial advantage of one atom is amplified until that atom is isolated.
Alexander Christie, Miguel Moscoso, Alexei Novikov et al.
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