54 search results - page 1 / 11 » A Simple and Efficient Model Pruning Method for Conditional ... |
ICCPOL
2009
Springer
13 years 2 months ago
2009
Springer
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
CVPR
2010
IEEE
14 years 5 days ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
ACL
2008
13 years 6 months ago
2008
Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynam...
AAAI
2008
13 years 7 months ago
2008
Conditional random field (CRF) is a popular graphical model for sequence labeling. The flexibility of CRF poses significant computational challenges for training. Using existing o...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...