172 search results - page 3 / 35 » Approximate low-rank factorization with structured factors |
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
ICB
2007
Springer
13 years 9 months ago
2007
Springer
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
SLSFS
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
This paper introduces a novel algorithm for the nonnegative matrix factorization and completion problem, which aims to find nonnegative matrices X and Y from a subset of entries o...
SIAMMAX
2010
13 years 2 months ago
2010
Abstract. Given a symmetric positive definite matrix A, we compute a structured approximate Cholesky factorization A RT R up to any desired accuracy, where R is an upper triangula...