374 search results - page 19 / 75 » Robust kernel density estimation |
CVPR
2012
IEEE
12 years 11 days ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gauss...
INFORMATICALT
2011
13 years 5 months ago
2011
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
TIP
2008
13 years 10 months ago
2008
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
NIPS
2007
13 years 11 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...