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158
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IJRR
2010
162views more  IJRR 2010»
15 years 1 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
ECML
2005
Springer
15 years 8 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
127
Voted
ACHI
2008
IEEE
15 years 4 months ago
Specification for User Modeling with Self-Observing Systems
The complicated user interfaces and complex functionality of nowadays interactive products lead to a new class of failures: People do not understand their products and thus fail t...
Mathias Funk, Piet van der Putten, Henk Corporaal
117
Voted
CVPR
2008
IEEE
15 years 4 months ago
Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera
In this paper we investigate the challenging problem of recovering the depth layers in a scene from a single defocused observation. The problem is definitely solvable if there are...
Vinay P. Namboodiri, Subhasis Chaudhuri
137
Voted
NIPS
2008
15 years 4 months ago
An Homotopy Algorithm for the Lasso with Online Observations
It has been shown that the problem of 1-penalized least-square regression commonly referred to as the Lasso or Basis Pursuit DeNoising leads to solutions that are sparse and there...
Pierre Garrigues, Laurent El Ghaoui