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UAI
2003
15 years 5 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ECCV
2010
Springer
15 years 5 months ago
Joint Estimation of Motion, Structure and Geometry from Stereo Sequences
We present a novel variational method for the simultaneous estimation of dense scene flow and structure from stereo sequences. In contrast to existing approaches that rely on a ful...
Levi Valgaerts, Andrés Bruhn, Henning Zimme...

Publication
241views
15 years 5 months ago
Fast and Automatic Object Pose Estimation for Range Images on the GPU
We present a pose estimation method for rigid objects from single range images. Using 3D models of the objects, many pose hypotheses are compared in a data-parallel version of t...
In Kyu Park, Marcel Germann, Michael D. Breitenste...
SIGCOMM
2010
ACM
15 years 4 months ago
Fived: a service-based architecture implementation to innovate at the endpoints
Security functions such as access control, encryption and authentication are typically left up to applications on the modern Internet. There is no unified system to implement thes...
D. J. Capelis, Darrell D. E. Long
CGF
2008
127views more  CGF 2008»
15 years 4 months ago
Fitting Sharp Features with Loop Subdivision Surfaces
Various methods have been proposed for fitting subdivision surfaces to different forms of shape data (e.g., dense meshes or point clouds), but none of these methods effectively de...
Ruotian Ling, Wenping Wang, Dong-Ming Yan
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