593 search results - page 109 / 119 » Dealing with different distributions in learning from |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
ICANNGA
2009
Springer
15 years 4 months ago
2009
Springer
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
IUI
2003
ACM
15 years 2 months ago
2003
ACM
The user expectations for usability and personalization along with decreasing size of handheld devices challenge traditional keypad layout design. We have developed a method for o...
SDM
2008
SIAM
14 years 11 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...
UAI
2001
14 years 10 months ago
2001
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...