1164 search results - page 179 / 233 » Steerable Random Fields |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...