119 search results - page 9 / 24 » Training Conditional Random Fields Using Incomplete Annotati... |
CVPR
2010
IEEE
14 years 3 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...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
ACL
2008
13 years 9 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
ACL
2009
13 years 5 months ago
2009
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...