338 search results - page 4 / 68 » Learning Flexible Features for Conditional Random Fields |
IJCAI
2007
13 years 7 months ago
2007
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
JCB
2006
13 years 6 months ago
2006
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
INTERSPEECH
2010
13 years 1 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...
NIPS
2004
13 years 7 months ago
2004
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...