Add to ORKG• NMF Problem: X ∈ Rm×n+ is a matrix with nonnegative entries, and we want to compute a nonnegative matrix factorization (NMF) X = WH, where W ∈ Rm×r+ and H ∈ Rr×n+. When r < m, this problem is NP-hard. • A separable matrix is one that admits a nonnegative factorization wher
Nonnegative Matrix Factorization (NMF) solves the following problem: find nonnegative matrices A ∈ R...
Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has be...
Although nonnegative matrix factorization (NMF) favors a part-based and sparse representation of its...
Numerous algorithms are used for nonnegative matrix factorization under the as-sumption that the mat...
In the Nonnegative Matrix Factorization (NMF) problem we are given an n×m nonnegative matrix M and a...
AbstractIn this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elem...
Nonnegative matrix factorization (NMF) has become a very popular technique in machine learning becau...
International audienceWe propose a new variant of nonnegative matrix factorization (NMF), combining ...
Nonnegative matrix factorization (NMF) has drawn considerable interest in recent years due to its im...
Linear dimensionality reduction techniques such as principal component analysis are powerful tools f...
The exact nonnegative matrix factorization (exact NMF) problem is the following: given an m-by-n non...
In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise)...
Nonnegative matrix factorization (NMF) has been success-fully applied to different domains as a tech...
Non-negative Matrix Factorization (NMF) asks to decompose a (entry-wise) non-negative matrix into th...
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the...
Nonnegative Matrix Factorization (NMF) solves the following problem: find nonnegative matrices A ∈ R...
Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has be...
Although nonnegative matrix factorization (NMF) favors a part-based and sparse representation of its...
Numerous algorithms are used for nonnegative matrix factorization under the as-sumption that the mat...
In the Nonnegative Matrix Factorization (NMF) problem we are given an n×m nonnegative matrix M and a...
AbstractIn this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elem...
Nonnegative matrix factorization (NMF) has become a very popular technique in machine learning becau...
International audienceWe propose a new variant of nonnegative matrix factorization (NMF), combining ...
Nonnegative matrix factorization (NMF) has drawn considerable interest in recent years due to its im...
Linear dimensionality reduction techniques such as principal component analysis are powerful tools f...
The exact nonnegative matrix factorization (exact NMF) problem is the following: given an m-by-n non...
In this paper we consider the Nonnegative Matrix Factorization (NMF) problem: given an (elementwise)...
Nonnegative matrix factorization (NMF) has been success-fully applied to different domains as a tech...
Non-negative Matrix Factorization (NMF) asks to decompose a (entry-wise) non-negative matrix into th...
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the...
Nonnegative Matrix Factorization (NMF) solves the following problem: find nonnegative matrices A ∈ R...
Nonnegative Matrix Factorization (NMF) has gathered a lot of attention in the last decade and has be...
Although nonnegative matrix factorization (NMF) favors a part-based and sparse representation of its...