3677 search results - page 372 / 736 » Is a probabilistic modeling |
170
click to vote
CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
176
click to vote
ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
202
click to vote
VLSID
2005
IEEE
16 years 7 months ago
2005
IEEE
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
200
click to vote
ICRA
2010
IEEE
15 years 5 months ago
2010
IEEE
— Allowing robots to communicate naturally with humans is a major goal for social robotics. Most approaches have focused on building high-level probabilistic cognitive models. Ho...
208
click to vote
AAAI
2011
14 years 6 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...