3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2016
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
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…
cs.CG2013★ 3 cited
Efficient Sparseness-Enforcing Projections
Markus Thom, Günther Palm
We propose a linear time and constant space algorithm for computing Euclidean projections onto sets on which a normalized sparseness measure attains a constant value. These non-con…