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» Conditional Random Fields for Transmembrane Helix Prediction
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DAGM
2011
Springer
12 years 7 months ago
Putting MAP Back on the Map
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
SIGIR
2008
ACM
13 years 7 months ago
A unified and discriminative model for query refinement
This paper addresses the issue of query refinement, which involves reformulating ill-formed search queries in order to enhance relevance of search results. Query refinement typica...
Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng
AAMAS
2010
Springer
13 years 7 months ago
A probabilistic multimodal approach for predicting listener backchannels
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
Louis-Philippe Morency, Iwan de Kok, Jonathan Grat...
ICML
2005
IEEE
14 years 8 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
CVPR
2008
IEEE
14 years 1 months ago
Scene understanding with discriminative structured prediction
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Jinhui Yuan, Jianmin Li, Bo Zhang