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» Parametrization of Linear Systems Using Diffusion Kernels
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CA
2003
IEEE
15 years 7 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
MICCAI
2010
Springer
14 years 11 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 8 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
VISSYM
2004
15 years 3 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 2 months 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