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CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
ACL
2010
13 years 5 months ago
2010
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. This kind of summary templates can be useful in...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
CONEXT
2008
ACM
13 years 9 months ago
2008
ACM
In response to the limitations of the Internet architecture when used for applications for which it was not originally designed, a series of clean slate efforts have emerged to sh...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...