376 search results - page 52 / 76 » Approximating Probability Distributions Using Small Sample S... |
ICML
2009
IEEE
14 years 3 months ago
2009
IEEE
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper we propose a robust visual tracking method
by casting tracking as a sparse approximation problem in a
particle filter framework. In this framework, occlusion, corru...
INFOCOM
2002
IEEE
14 years 1 months ago
2002
IEEE
This paper develops simple cost models for provisioning content distribution networks that use the simple and highly scalable bandwidth skimming protocol for streaming. New insight...
TSP
2010
13 years 3 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
NIPS
2003
13 years 10 months ago
2003
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...