A Batchwise Monotone Algorithm for Dictionary Learning

CoRR, 2015.

Cited by: 0|Bibtex|Views9
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We propose a batchwise monotone algorithm for dictionary learning. Unlike the state-of-the-art dictionary learning algorithms which impose sparsity constraints on a sample-by-sample basis, we instead treat the samples as a batch, and impose the sparsity constraint on the whole. The benefit of batchwise optimization is that the non-zeros...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments