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» Statistical Models of Conditioning
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CVPR
2008
IEEE
16 years 8 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson
ESANN
2004
15 years 7 months ago
Visual person tracking with a Supervised Conditioning-SOM
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical ...
J. David Buldain Pérez, José El&iacu...
ICASSP
2011
IEEE
14 years 10 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...
SIGIR
2003
ACM
15 years 11 months ago
Modeling annotated data
We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as...
David M. Blei, Michael I. Jordan
EUROPAR
2009
Springer
15 years 10 months ago
Modelling Pilot-Job Applications on Production Grids
Pilot-job systems have emerged as a computation paradigm to cope with heterogeneity of production grids, greatly improving fault ratios and latency. Tools like DIANE, WISDOM-II, To...
Tristan Glatard, Sorina Camarasu-Pop