171 search results - page 6 / 35 » Convex Sparse Matrix Factorizations |
LATIN
2010
Springer
14 years 1 months ago
2010
Springer
We consider the multiplication of a sparse N × N matrix A with a dense N × N matrix B in the I/O model. We determine the worst-case non-uniform complexity of this task up to a c...
EUROPAR
2003
Springer
14 years 9 days 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...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
CORR
2012
Springer
12 years 2 months ago
2012
Springer
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...