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Published in 2017 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2016.2614684
Abstract: We consider the problem of learning overcomplete dictionaries in the context of sparse coding, where each sample selects a sparse subset of dictionary elements. Our main result is a strategy to approximately recover the unknown…
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Keywords:
overcomplete dictionaries;
learning sparsely;
sparsely used;
used overcomplete ... See more keywords