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» How to learn a graph from smooth signals
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SIGIR
2009
ACM
14 years 8 days ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
ICMLA
2010
13 years 3 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
HASE
1999
IEEE
13 years 10 months ago
Analyzing the Real-Time Properties of a U.S. Navy Signal Processing System
The state of the art in verifying the real-time requirements of applications developed using general processing graph models relies on simulation or off-line scheduling. We extend...
Steve Goddard, Kevin Jeffay
ICMI
2007
Springer
112views Biometrics» more  ICMI 2007»
13 years 12 months ago
How to distinguish posed from spontaneous smiles using geometric features
Automatic distinction between posed and spontaneous expressions is an unsolved problem. Previously cognitive sciences’ studies indicated that the automatic separation of posed f...
Michel François Valstar, Hatice Gunes, Maja...
INTERSPEECH
2010
13 years 18 days ago
Active appearance models for photorealistic visual speech synthesis
The perceived quality of a synthetic visual speech signal greatly depends on the smoothness of the presented visual articulators. This paper explains how concatenative visual spee...
Wesley Mattheyses, Lukas Latacz, Werner Verhelst