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» Invariances in kernel methods: From samples to objects
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TMI
2008
116views more  TMI 2008»
13 years 7 months ago
Reduced Encoding Diffusion Spectrum Imaging Implemented With a Bi-Gaussian Model
Diffusion spectrum imaging (DSI) can map complex fiber microstructures in tissues by characterizing their 3-D water diffusion spectra. However, a long acquisition time is required ...
Chun-Hung Yeh, Kuan-Hung Cho, Hsuan-Cheng Lin, Jiu...
DAGSTUHL
2011
12 years 7 months ago
Interactive Isocontouring of High-Order Surfaces
Scientists and engineers are making increasingly use of hp-adaptive discretization methods to compute simulations. While techniques for isocontouring the high-order data generated...
Christian Azambuja Pagot, Joachim E. Vollrath, Fil...
SAC
2002
ACM
13 years 7 months ago
A comprehensive model for arbitrary result extraction
Within the realms of workflow management and grid computing, scheduling of distributed services is a central issue. Most schedulers balance time and cost to fit within a client�...
Neal Sample, Dorothea Beringer, Gio Wiederhold
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
13 years 6 months ago
Using model knowledge for learning inverse dynamics
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Duy Nguyen-Tuong, Jan Peters
3DIM
2005
IEEE
14 years 1 months ago
Gaussian Scale-Space Dense Disparity Estimation with Anisotropic Disparity-Field Diffusion
We present a new reliable dense disparity estimation algorithm which employs Gaussian scale-space with anisotropic disparity-field diffusion. This algorithm estimates edge-preserv...
Jangheon Kim, Thomas Sikora