42 search results - page 1 / 9 » Better Size Estimation for Sparse Matrix Products |
APPROX
2010
Springer
15 years 3 months ago
2010
Springer
155
Voted
NIPS
2008
15 years 3 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 ...
140
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CISS
2008
IEEE
15 years 8 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...
131
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ICML
2006
IEEE
16 years 3 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...
125
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ECCV
2008
Springer
16 years 4 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 ...