451 citations · 1.8k across the 39 of their papers we have counts for
Showing 2014Show all
2 papers · 1 filter
cs.LG2014★ 4 cited
Sparse and spurious: dictionary learning with noise and outliers
Rémi Gribonval, Rodolphe Jenatton, Francis Bach
A popular approach within the signal processing and machine learning communities consists in modelling signals as sparse linear combinations of atoms selected from a learned dictio…
stat.ML2014★ 1 cited
On The Sample Complexity of Sparse Dictionary Learning
Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval +2
In the synthesis model signals are represented as a sparse combinations of atoms from a dictionary. Dictionary learning describes the acquisition process of the underlying dictiona…