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» Stable Computations with Gaussian Radial Basis Functions
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ICCV
2003
IEEE
15 years 11 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little
ECAI
2006
Springer
15 years 1 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
SI3D
2003
ACM
15 years 2 months ago
An automatic modeling of human bodies from sizing parameters
In this paper, we present an automatic, runtime modeler for modeling realistic, animatable human bodies. A user can generate a new model or modify an existing one simply by inputt...
Hyewon Seo, Nadia Magnenat-Thalmann
AFRIGRAPH
2010
ACM
15 years 26 days ago
Progressive RBF interpolation
Interpolation based on Radial Basis Functions (RBF) is very often used for scattered scalar data interpolation in n-dimensional space in general. RBFs are used for surface reconst...
Václav Skala
98
Voted
GRAPHITE
2003
ACM
15 years 2 months ago
Smooth surface reconstruction from noisy range data
This paper shows that scattered range data can be smoothed at low cost by fitting a Radial Basis Function (RBF) to the data and convolving with a smoothing kernel (low pass filt...
Jonathan C. Carr, Richard K. Beatson, Bruce C. McC...