376 search results - page 10 / 76 » On the Use of Virtual Evidence in Conditional Random Fields |
INTERSPEECH
2010
14 years 6 months ago
2010
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
105
click to vote
ICML
2004
IEEE
16 years 16 days ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
110
click to vote
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Conditional Random Fields (CRFs) are a state-of-the-art approach to natural language processing tasks like grapheme-tophoneme (g2p) conversion which is used to produce pronunciati...
115
click to vote
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We propose a novel approach for improving level set seg-
mentation methods by embedding the potential functions
from a discriminatively trained conditional random field
(CRF) in...
134
click to vote
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...