141 search results - page 10 / 29 » Distributed adaptive sampling using bounded-errors |
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...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
DKE
2008
13 years 7 months ago
2008
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
RT
1995
Springer
13 years 11 months ago
1995
Springer
This paper is concerned with the e cient reconstruction of illumination from area luminaires. We outline a 2-pass scheme a lightpass, tracing ray bundles from the luminaires follow...