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IJCAI
2007
13 years 11 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
NSDI
2010
13 years 8 months ago
AccuRate: Constellation Based Rate Estimation in Wireless Networks
This paper proposes to exploit physical layer information towards improved rate selection in wireless networks. While existing schemes pick good transmission rates, this paper tak...
Souvik Sen, Naveen Santhapuri, Romit Roy Choudhury...
CVPR
2006
IEEE
15 years 1 days ago
The Registration Problem Revisited: Optimal Solutions From Points, Lines and Planes
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...
Carl Olsson, Fredrik Kahl, Magnus Oskarsson
ICPR
2006
IEEE
14 years 11 months ago
Optimal Estimation of Perspective Camera Pose
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of camera pose estimation for calibrated cameras. While traditio...
Carl Olsson, Fredrik Kahl, Magnus Oskarsson
ICML
2007
IEEE
14 years 10 months ago
Supervised feature selection via dependence estimation
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
Le Song, Alex J. Smola, Arthur Gretton, Karsten M....