AbstractAn algorithm is described for the nonnegative rank factorization (NRF) of some completely positive (CP) matrices whose rank is equal to their CP-rank. The algorithm can compute the symmetric NRF of any nonnegative symmetric rank-r matrix that contains a diagonal principal submatrix of that rank and size with leading cost O(rm2) operations in the dense case. The algorithm is based on geometric considerations and is easy to implement. The implications for matrix graphs are also discussed
Nonnegative matrix factorization (NMF) consists in finding two nonnegative matrices whose product is...
This paper considers the problem of positive semidefinite factorization (PSD factorization), a gener...
The exact nonnegative matrix factorization (exact NMF) problem is the following: given an m-by-n non...
An algorithm is described for the nonnegative rank factorization (NRF) of some completely posi-tive ...
An algorithm is described for the nonnegative rank factorization (NRF) of some completely positive (...
AbstractAn algorithm is described for the nonnegative rank factorization (NRF) of some completely po...
A method based on elementary column and row operations of the factorization of nonnegative matrices ...
AbstractThe existence of nonnegative generalized inverses in terms of nonnegative rank factorization...
Symmetric Nonnegative Matrix Factorization (SymNMF) provides a symmetric nonnegative low rank decom...
Symmetric Nonnegative Matrix Factorization (SymNMF) provides a symmetric nonnegative low rank decom...
Abstract: A method based on elementary column and row operations of the factorization of nonnegative...
A symmetric positive semi-definite matrix A is called completely positive if there exists a matrix B...
AbstractThe nonnegative rank of a nonnegative matrix is the smallest number of nonnegative rank-one ...
An algorithm for reducing a symmetric dense matrix into a symmetric semiseparable one by orthogonal ...
summary:A symmetric positive semi-definite matrix $A$ is called completely positive if there exists ...
Nonnegative matrix factorization (NMF) consists in finding two nonnegative matrices whose product is...
This paper considers the problem of positive semidefinite factorization (PSD factorization), a gener...
The exact nonnegative matrix factorization (exact NMF) problem is the following: given an m-by-n non...
An algorithm is described for the nonnegative rank factorization (NRF) of some completely posi-tive ...
An algorithm is described for the nonnegative rank factorization (NRF) of some completely positive (...
AbstractAn algorithm is described for the nonnegative rank factorization (NRF) of some completely po...
A method based on elementary column and row operations of the factorization of nonnegative matrices ...
AbstractThe existence of nonnegative generalized inverses in terms of nonnegative rank factorization...
Symmetric Nonnegative Matrix Factorization (SymNMF) provides a symmetric nonnegative low rank decom...
Symmetric Nonnegative Matrix Factorization (SymNMF) provides a symmetric nonnegative low rank decom...
Abstract: A method based on elementary column and row operations of the factorization of nonnegative...
A symmetric positive semi-definite matrix A is called completely positive if there exists a matrix B...
AbstractThe nonnegative rank of a nonnegative matrix is the smallest number of nonnegative rank-one ...
An algorithm for reducing a symmetric dense matrix into a symmetric semiseparable one by orthogonal ...
summary:A symmetric positive semi-definite matrix $A$ is called completely positive if there exists ...
Nonnegative matrix factorization (NMF) consists in finding two nonnegative matrices whose product is...
This paper considers the problem of positive semidefinite factorization (PSD factorization), a gener...
The exact nonnegative matrix factorization (exact NMF) problem is the following: given an m-by-n non...