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173
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CVPR
2008
IEEE
16 years 9 months ago
2008
IEEE
We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
244
Voted
ECCV
2006
Springer
16 years 9 months ago
2006
Springer
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
191
Voted
ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
168
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
207
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...