596 search results - page 40 / 120 » Learning noise |
125
Voted
NIPS
2004
15 years 4 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
132
Voted
DSMML
2004
Springer
15 years 8 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
97
Voted
NIPS
2000
15 years 4 months ago
2000
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
121
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
142
Voted
ICAC
2006
IEEE
15 years 8 months ago
2006
IEEE
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...