84 search results - page 5 / 17 » Utilizing Variational Optimization to Learn Markov Random Fi... |
CVPR
2007
IEEE
15 years 11 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...
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
FGR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
EMMCVPR
2001
Springer
15 years 2 months ago
2001
Springer
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
DAGM
2008
Springer
14 years 11 months ago
2008
Springer
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...