894 search results - page 37 / 179 » Entropy-based Adaptive Sampling |
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
WSC
2004
13 years 9 months ago
2004
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
TSMC
2010
13 years 2 months ago
2010
We present an adaptive framework for condensation algorithms in the context of human-face tracking. We attack the face tracking problem by making factored sampling more efficient a...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...