100 citations · 108 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 100 cited
Deep matrix factorizations
Pierre De Handschutter, Nicolas Gillis, Xavier Siebert
Constrained low-rank matrix approximations have been known for decades as powerful linear dimensionality reduction techniques to be able to extract the information contained in lar…
eess.SP2019★ 8 cited
Near-Convex Archetypal Analysis
Pierre De Handschutter, Nicolas Gillis, Arnaud Vandaele +1
Nonnegative matrix factorization (NMF) is a widely used linear dimensionality reduction technique for nonnegative data. NMF requires that each data point is approximated by a conve…