145 search results - page 2 / 29 » On Constrained Sparse Matrix Factorization |
ISNN
2007
Springer
13 years 11 months ago
2007
Springer
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
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...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we present a novel algorithm for representing facial expressions. The algorithm is based on the non-negative matrix factorization (NMF) algorithm, which decomposes ...
JMLR
2012
11 years 7 months ago
2012
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
AAAI
2006
13 years 6 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...