126 search results - page 6 / 26 » Automatic feature selection in the markov random field model... |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
MIR
2006
ACM
14 years 1 months ago
2006
ACM
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
ICEIS
1999
IEEE
13 years 11 months ago
1999
IEEE
: Contour Estimation, Bayesian Estimation, Random Fields, Dynamic Programming, Multigrid Methods. This paper addresses contour estimation on images modeled as piecewise homogeneous...
AAMAS
2010
Springer
13 years 7 months ago
2010
Springer
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...