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TROB
2010
129views more  TROB 2010»
14 years 10 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...
EMO
2003
Springer
109views Optimization» more  EMO 2003»
15 years 5 months ago
A Population and Interval Constraint Propagation Algorithm
We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. ...
Vincent Barichard, Jin-Kao Hao
APPROX
2009
Springer
142views Algorithms» more  APPROX 2009»
15 years 6 months ago
Optimal Sherali-Adams Gaps from Pairwise Independence
Abstract. This work considers the problem of approximating fixed predicate constraint satisfaction problems (MAX k-CSP(P)). We show that if the set of assignments accepted by P co...
Konstantinos Georgiou, Avner Magen, Madhur Tulsian...
STACS
1999
Springer
15 years 4 months ago
Balanced Randomized Tree Splitting with Applications to Evolutionary Tree Constructions
We present a new technique called balanced randomized tree splitting. It is useful in constructing unknown trees recursively. By applying it we obtain two new results on efficient ...
Ming-Yang Kao, Andrzej Lingas, Anna Östlin
CVPR
2010
IEEE
15 years 8 months ago
Beyond Trees: MRF Inference via Outer-Planar Decomposition
Maximum a posteriori (MAP) inference in Markov Random Fields (MRFs) is an NP-hard problem, and thus research has focussed on either finding efficiently solvable subclasses (e.g. t...
Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan...