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» Uncertainty Modeling for Optimal Structure from Motion
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ECAI
1998
Springer
15 years 8 months ago
Optimal Scheduling of Dynamic Progressive Processing
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...
Abdel-Illah Mouaddib, Shlomo Zilberstein
SIGGRAPH
1996
ACM
15 years 8 months ago
A Volumetric Method for Building Complex Models from Range Images
A number of techniques have been developed for reconstructing surfaces by integrating groups of aligned range images. A desirable set of properties for such algorithms includes: i...
Brian Curless, Marc Levoy
NN
2002
Springer
136views Neural Networks» more  NN 2002»
15 years 3 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
NIPS
2007
15 years 5 months ago
Sequential Hypothesis Testing under Stochastic Deadlines
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
Peter Frazier, Angela Yu
MICCAI
2001
Springer
15 years 8 months ago
3D+t Modeling of Coronary Artery Tree from Standard Non Simultaneous Angiograms
Abstract. 3D models of coronary arteries is a valuable help for the planning and simulation of minimally-invasive cardiac surgery, and may be used in per-operative augmented realit...
Fabien Mourgues, Frederic Devernay, Grégoir...