Nicolas Nadisic

most citedSmoothed Separable Nonnegative Matrix Factorization

6 citations · 7 across the 3 of their papers we have counts for

collaborators

Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020★ 1 cited

Matrix-wise $ℓ_{0}$ -constrained Sparse Nonnegative Least Squares

Nicolas Nadisic, Jeremy E Cohen, Arnaud Vandaele +1

Nonnegative least squares problems with multiple right-hand sides (MNNLS) arise in models that rely on additive linear combinations. In particular, they are at the core of most non…

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…

Matrix-wise ℓ0​-constrained Sparse Nonnegative Least Squares

Sparse Separable Nonnegative Matrix Factorization

Matrix-wise $ℓ_{0}$ -constrained Sparse Nonnegative Least Squares