3 papers
cs.LG2020
Sparse Separable Nonnegative Matrix Factorization
Nicolas Nadisic, Arnaud Vandaele, Jeremy E. Cohen +1
We propose a new variant of nonnegative matrix factorization (NMF), combining separability and sparsity assumptions. Separability requires that the columns of the first NMF factor…
math.NA2020
Off-diagonal Symmetric Nonnegative Matrix Factorization
François Moutier, Arnaud Vandaele, Nicolas Gillis
Symmetric nonnegative matrix factorization (symNMF) is a variant of nonnegative matrix factorization (NMF) that allows to handle symmetric input matrices and has been shown to be p…
eess.SP2019
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…