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EUSFLAT
2007
117views Fuzzy Logic» more  EUSFLAT 2007»
15 years 3 months ago
Transforming Probability Intervals into Other Uncertainty Models
Probability intervals are imprecise probability assignments over elementary events. They constitute a very convenient tool to model uncertain information : two common cases are co...
Sébastien Destercke, Didier Dubois, Eric Ch...
ALGORITHMICA
2008
78views more  ALGORITHMICA 2008»
15 years 2 months ago
Optimally Adaptive Integration of Univariate Lipschitz Functions
We consider the problem of approximately integrating a Lipschitz function f (with a known Lipschitz constant) over an interval. The goal is to achieve an error of at most using as...
Ilya Baran, Erik D. Demaine, Dmitriy A. Katz
IROS
2006
IEEE
162views Robotics» more  IROS 2006»
15 years 8 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
AAAI
2010
15 years 3 months ago
g-Planner: Real-time Motion Planning and Global Navigation using GPUs
We present novel randomized algorithms for solving global motion planning problems that exploit the computational capabilities of many-core GPUs. Our approach uses thread and data...
Jia Pan, Christian Lauterbach, Dinesh Manocha
111
Voted
IJCV
1998
163views more  IJCV 1998»
15 years 1 months ago
CONDENSATION - Conditional Density Propagation for Visual Tracking
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
Michael Isard, Andrew Blake