145 search results - page 16 / 29 » On Constrained Sparse Matrix Factorization |
TOMS
2011
14 years 4 months ago
2011
We present a new supernode-based incomplete LU factorization method to construct a preconditioner for solving sparse linear systems with iterative methods. The new algorithm is pr...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
TROB
2008
14 years 9 months ago
2008
We present incremental smoothing and mapping (iSAM), a novel approach to the simultaneous localization and mapping problem that is based on fast incremental matrix factorization. i...
ICA
2007
Springer
15 years 4 months ago
2007
Springer
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
CORR
2007
Springer
14 years 9 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...