42 search results - page 1 / 9 » Better Size Estimation for Sparse Matrix Products |
APPROX
2010
Springer
13 years 6 months ago
2010
Springer
NIPS
2008
13 years 6 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
CISS
2008
IEEE
13 years 11 months ago
2008
IEEE
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...