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» Adaptive Sampling for Noisy Problems
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NIPS
2001
13 years 9 months ago
KLD-Sampling: Adaptive Particle Filters
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
Dieter Fox
ICASSP
2008
IEEE
14 years 2 months ago
Reconstructing sparse signals from their zero crossings
Classical sampling records the signal level at pre-determined time instances, usually uniformly spaced. An alternative implicit sampling model is to record the timing of pre-deter...
Petros Boufounos, Richard G. Baraniuk
IBERAMIA
2004
Springer
14 years 27 days ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
CEC
2009
IEEE
13 years 11 months ago
A conflict based SAW method for Constraint Satisfaction Problems
Evolutionary algorithms have employed the SAW (Stepwise Adaptation of Weights) method in order to solve CSPs (Constraint Satisfaction Problems). This method originated in hill-clim...
Rafi Shalom, Mireille Avigal, Ron Unger
ICIP
2005
IEEE
14 years 9 months ago
Shape space sampling distributions and their impact on visual tracking
Object motions can be represented as a sequence of shape deformations and translations which can be interpretated as a sequence of points in N-dimensional shape space. These space...
Amit Kale, Christopher O. Jaynes