75 search results - page 3 / 15 » Online Learning for Matrix Factorization and Sparse Coding |
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
PARA
2004
Springer
13 years 10 months ago
2004
Springer
The sparse Cholesky factorization of some large matrices can require a two dimensional partitioning of the matrix. The sparse hypermatrix storage scheme produces a recursive 2D par...
EUROPAR
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. This paper shows how a sparse hypermatrix Cholesky factorization can be improved. This is accomplished by means of efficient codes which operate on very small dense matri...
CORR
2004
Springer
13 years 5 months ago
2004
Springer
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
JMLR
2012
11 years 7 months ago
2012
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...