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CVPR
2011
IEEE
14 years 10 months ago
Feature Guided Motion Artifact Reduction with Structure-Awareness in 4D CT Images
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
IJAR
2010
130views more  IJAR 2010»
15 years 1 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
15 years 1 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
GRAPHICSINTERFACE
2000
15 years 4 months ago
Automatic Joint Parameter Estimation from Magnetic Motion Capture Data
This paper describes a technique for using magnetic motion capture data to determine the joint parameters of an articulated hierarchy. This technique makes it possible to determin...
James F. O'Brien, Robert E. Bodenheimer, Gabriel J...
IROS
2007
IEEE
124views Robotics» more  IROS 2007»
15 years 9 months ago
Temporal scaling of upper body motion for Sound feedback system of a dancing humanoid robot
— This paper proposes a method to model the modification of upper body motion of dance performance based on the speed of played music. When we observed structured dance motion p...
Takaaki Shiratori, Shunsuke Kudoh, Shinichiro Naka...