338 search results - page 11 / 68 » Learning Flexible Features for Conditional Random Fields |
ICDAR
2007
IEEE
15 years 4 months ago
2007
IEEE
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
AAAI
2008
14 years 12 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...
ICML
2006
IEEE
15 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...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper describes a new approach to modeling duration for LVCSR using SCARF, a toolkit for speech recognition with segmental conditional random fields. We utilize SCARF’s abi...