303 search results - page 6 / 61 » Gaussian Process Change Point Models |
115
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ECCV
2010
Springer
14 years 7 months ago
2010
Springer
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
100
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BMVC
2010
14 years 7 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
ICIP
2000
IEEE
15 years 2 months ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
82
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IROS
2008
IEEE
15 years 4 months ago
2008
IEEE
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
127
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ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...