376 search results - page 10 / 76 » On the Use of Virtual Evidence in Conditional Random Fields |
179
Voted
INTERSPEECH
2010
15 years 16 days 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...
174
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ICML
2004
IEEE
16 years 6 months 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...
175
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ICASSP
2011
IEEE
14 years 9 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...
183
Voted
CVPR
2009
IEEE
17 years 25 days 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...
206
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CVPR
2009
IEEE
17 years 25 days 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...