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» Modelling Smooth Paths Using Gaussian Processes
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SMI
2005
IEEE
111views Image Analysis» more  SMI 2005»
14 years 4 months ago
Smooth Adaptive Fitting of 3D Models Using Hierarchical Triangular Splines
The recent ability to measure quickly and inexpensively dense sets of points on physical objects has deeply influenced the way engineers used to represent shapes in CAD systems, ...
Alex Yvart, Stefanie Hahmann, Georges-Pierre Bonne...
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 9 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
CVPR
2011
IEEE
13 years 2 months ago
Visual textures as realizations of multivariate log-Gaussian Cox processes
In this paper, we address invariant keypoint-based texture characterization and recognition. Viewing keypoint sets associated with visual textures as realizations of point process...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
AVSS
2005
IEEE
14 years 4 months ago
Scene modelling using an adaptive mixture of Gaussians in colour and space
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to i...
Patrick Dickinson, Andrew Hunter
ICRA
2008
IEEE
142views Robotics» more  ICRA 2008»
14 years 5 months ago
Gaussian mixture models for probabilistic localization
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...