228 search results - page 32 / 46 » Large Deviation Methods for Approximate Probabilistic Infere... |
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
SIGGRAPH
1997
ACM
13 years 11 months ago
1997
ACM
A probabilistic lighting model is presented for thin coats of fur over skin. Previous methods for rendering furry objects and creatures have addressed the case where individual st...
PAMI
2010
13 years 5 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
TIFS
2010
13 years 2 months ago
2010
Recently developed video editing techniques have enabled us to create realistic synthesized videos. Therefore, using video data as evidence in places such as courts of law requires...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...