180 search results - page 12 / 36 » Relational Graph Labelling Using Learning Techniques and Mar... |
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...
PAMI
2007
14 years 9 months ago
2007
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
INTERSPEECH
2010
14 years 4 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...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...