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» Estimating the Robustness of Discovered Knowledge
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AAAI
2010
13 years 8 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli
DICTA
2003
13 years 9 months ago
Relative Pose Estimation for Instrumented, Calibrated Imaging Platforms
Abstract. Recent efforts in robust estimation of the two-view relation have focused on uncalibrated cameras with no prior knowledge of pose. However, in practice robotic vehicles t...
Oscar Pizarro, Ryan Eustice, Hanumant Singh
UIST
2005
ACM
14 years 1 months ago
Supporting interaction in augmented reality in the presence of uncertain spatial knowledge
A significant problem encounteredwhen building Augmented Reality (AR) systems is that all spatial knowledge about the world has uncertainty associated with it. This uncertainty m...
Enylton Machado Coelho, Blair MacIntyre, Simon Jul...
UAI
2000
13 years 9 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller
CVPR
2010
IEEE
14 years 1 months ago
Secrets of Optical Flow Estimation and Their Principles
The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical flow benchmark. The typical formulation, however...
Deqing Sun, Stefan Roth, Michael Black