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» Transformations of Gaussian Process Priors
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NIPS
2008
13 years 8 months ago
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
The inverse dynamics problem for a robotic manipulator is to compute the torques needed at the joints to drive it along a given trajectory; it is beneficial to be able to learn th...
Kian Ming Adam Chai, Christopher K. I. Williams, S...
CVPR
2006
IEEE
14 years 9 months ago
3D People Tracking with Gaussian Process Dynamical Models
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Raquel Urtasun, David J. Fleet, Pascal Fua
ICASSP
2007
IEEE
14 years 1 months ago
Morphological Diversity and Sparse Image Denoising
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubc...
NIPS
2007
13 years 8 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
ICIP
2004
IEEE
14 years 8 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio