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» On Unbiased Linear Approximations
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TROB
2010
129views more  TROB 2010»
14 years 11 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
108
Voted
COCOON
2001
Springer
15 years 5 months ago
Decidable Approximations on Generalized and Parameterized Discrete Timed Automata
We consider generalized discrete timed automata with general linear relations over clocks and parameterized constants as clock constraints and with parameterized durations. We look...
Zhe Dang, Oscar H. Ibarra, Richard A. Kemmerer
CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 10 months ago
Fast Approximation Algorithms for Cut-based Problems in Undirected Graphs
We present a general method of designing fast approximation algorithms for cut-based minimization problems in undirected graphs. In particular, we develop a technique that given a...
Aleksander Madry
103
Voted
ICPR
2004
IEEE
16 years 1 months ago
Historical Document Image Enhancement Using Background Light Intensity Normalization
This paper presents a new background light intensity normalization algorithm suitable for historical document images. The algorithm uses an adaptive linear function to approximate...
Venu Govindaraju, Zhixin Shi
ICML
2006
IEEE
16 years 1 months ago
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation
Quadratic program relaxations are proposed as an alternative to linear program relaxations and tree reweighted belief propagation for the metric labeling or MAP estimation problem...
Pradeep D. Ravikumar, John D. Lafferty