38 citations · 60 across the 4 of their papers we have counts for
Showing 2016 · cs.LGShow all
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cs.LG2016★ 11 cited
Efficient Dictionary Learning with Sparseness-Enforcing Projections
Markus Thom, Matthias Rapp, Günther Palm
Learning dictionaries suitable for sparse coding instead of using engineered bases has proven effective in a variety of image processing tasks. This paper studies the optimization…
cs.LG2016★ 38 cited
Sparse Activity and Sparse Connectivity in Supervised Learning
Markus Thom, Günther Palm
Sparseness is a useful regularizer for learning in a wide range of applications, in particular in neural networks. This paper proposes a model targeted at classification tasks, whe…