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JAIR
2000
152views more  JAIR 2000»
13 years 8 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
ICRA
2009
IEEE
135views Robotics» more  ICRA 2009»
14 years 3 months ago
A nonlinear observer for 6 DOF pose estimation from inertial and bearing measurements
— This paper considers the problem of estimating pose from inertial and bearing-only vision measurements. We present a non-linear observer that evolves directly on the special Eu...
Grant Baldwin, Robert E. Mahony, Jochen Trumpf
DAC
2006
ACM
14 years 9 months ago
SAT sweeping with local observability don't-cares
SAT sweeping is a method for simplifying an AND/INVERTER graph (AIG) by systematically merging graph vertices from the inputs towards the outputs using a combination of structural...
Qi Zhu, Nathan Kitchen, Andreas Kuehlmann, Alberto...
CVPR
2009
IEEE
1132views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Observable Subspaces for 3D Human Motion Recovery
The articulated body models used to represent human motion typically have many degrees of freedom, usually expressed as joint angles that are highly correlated. T...
Andrea Fossati (EPFL), Mathieu Salzmann (Universit...
NIPS
1997
13 years 9 months ago
Mapping a Manifold of Perceptual Observations
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Joshua B. Tenenbaum