Parsimony, including sparsity and low rank, has been shown to successfully modeldata in numerous machine learning and signal processing tasks. Traditionally, suchmodeling approaches rely on an iterative algorithm that minimizes an objectivefunction with parsimony-promoting terms. The inherently sequential structure anddata-dependent complexity a...
Creator:
Sapiro, Guillermo R. (Duke University)
Created:
2013-09-23
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.