265 search results - page 11 / 53 » Document Image Segmentation Using a 2D Conditional Random Fi... |
NIPS
2008
13 years 9 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
RTI
2000
13 years 7 months ago
2000
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
ICCPOL
2009
Springer
13 years 5 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...