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» Modelling Smooth Paths Using Gaussian Processes
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TASE
2008
IEEE
15 years 1 months ago
Vision-Based Online Process Control in Manufacturing Applications
Applications such as layered manufacturing, or in general, solid free-form fabrication, pose a major challenge on online process control. For these parts to be functional, it is i...
Yuan Cheng, Mohsen A. Jafari
ICIP
2006
IEEE
16 years 3 months ago
Wavelet Denoising of Multicomponent Images, using a Noise-Free Image
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
Paul Scheunders, Steve De Backer
ICRA
2010
IEEE
159views Robotics» more  ICRA 2010»
14 years 12 months ago
An RRT-based path planner for use in trajectory imitation
We propose a more robust robot programming by demonstration system planner that produces a reproduction path which satisfies statistical constraints derived from demonstration traj...
Jonathan Claassens
ESANN
2007
15 years 3 months ago
Markovian blind separation of non-stationary temporally correlated sources
In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Rima Guidara, Shahram Hosseini, Yannick Deville
ICASSP
2010
IEEE
15 years 2 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock