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138
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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 10 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
ISQED
2003
IEEE
92views Hardware» more  ISQED 2003»
15 years 9 months ago
Parameterized Macrocells with Accurate Delay Models for Core-Based Designs
In this paper we propose a new design methodology targeted for core-based designs using parameterized macrocells (PMC’s). This methodology provides the flexibility for instance...
Makram M. Mansour, Mohammad M. Mansour, Amit Mehro...
157
Voted
FGR
2004
IEEE
218views Biometrics» more  FGR 2004»
15 years 7 months ago
Affine Correspondence Based Head Pose Estimation for a Sequence of Images by Using a 3D Model
This paper proposes a method of determining human head poses from a sequence of images. The main idea is to use some features in a 3D head model to generate a virtual fronto-paral...
Guoyuan Liang, Hongbin Zha, Hong Liu
128
Voted
NIPS
2004
15 years 5 months ago
Variational Minimax Estimation of Discrete Distributions under KL Loss
We develop a family of upper and lower bounds on the worst-case expected KL loss for estimating a discrete distribution on a finite number m of points, given N i.i.d. samples. Our...
Liam Paninski
150
Voted
WSC
2001
15 years 5 months ago
On improving the performance of simulation-based algorithms for average reward processes with application to network pricing
We address performance issues associated with simulationbased algorithms for optimizing Markov reward processes. Specifically, we are concerned with algorithms that exploit the re...
Enrique Campos-Náñez, Stephen D. Pat...