1297 search results - page 56 / 260 » Refractor Importance Sampling |
183
Voted
UAI
2008
15 years 2 months ago
2008
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
84
Voted
SCANGIS
2003
15 years 2 months ago
2003
Discrete sampling data is used in several environmental studies to create maps in order to support decision-making processes. The decision maps represent an increasing importance i...
96
Voted
JC
2007
15 years 18 days ago
2007
Compressed sensing is a new area of signal processing. Its goal is to minimize the number of samples that need to be taken from a signal for faithful reconstruction. The performan...
107
Voted
CGF
2010
15 years 25 days ago
2010
The problem of noise in Monte-Carlo rendering arising from estimator variance is well-known and well-studied. In this work, we concentrate on identifying individual light paths as...
133
Voted
AVBPA
2003
Springer
15 years 6 months ago
2003
Springer
This paper proposes a robust face tracking algorithm based on the CONDENSATION algorithm that uses skin color and facial shape as observation measures. Two independent trackers are...