34 search results - page 2 / 7 » Distributed Optimization and Statistical Learning via the Al... |
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
KDD
2010
ACM
13 years 7 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems â€...
ICCAD
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, an adaptive sampling method is proposed for the statistical SRAM cell analysis. The method is composed of two components. One part is the adaptive sampler that manip...