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» Parametrization of Linear Systems Using Diffusion Kernels
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CA
2003
IEEE
15 years 5 months ago
Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
Sylvie Gibet, Pierre-Francois Marteau
96
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MICCAI
2010
Springer
14 years 9 months ago
Symmetric Positive-Definite Cartesian Tensor Orientation Distribution Functions (CT-ODF)
Abstract. A novel method for estimating a field of orientation distribution functions (ODF) from a given set of DW-MR images is presented. We model the ODF by Cartesian tensor basi...
Yonas T. Weldeselassie, Angelos Barmpoutis, M. Ste...
ICASSP
2008
IEEE
15 years 6 months ago
Multiple kernel learning for speaker verification
Many speaker verification (SV) systems combine multiple classifiers using score-fusion to improve system performance. For SVM classifiers, an alternative strategy is to combine...
Chris Longworth, Mark J. F. Gales
93
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VISSYM
2004
15 years 1 months ago
DTI Visualization with Streamsurfaces and Evenly-Spaced Volume Seeding
Experimental evidence has shown that water diffusion is anisotropic in organized tissues such as white matter or muscles. Diffusion Tensor Imaging (DTI) is a non invasive MR techn...
Anna Vilanova, G. Berenschot, C. van de Pul
ICML
2006
IEEE
16 years 13 days ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan