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» Prime Implicant Computation Using Satisfiability Algorithms
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PODC
2012
ACM
13 years 4 days ago
Weak models of distributed computing, with connections to modal logic
This work presents a classification of weak models of distributed computing. We focus on deterministic distributed algorithms, and we study models of computing that are weaker ve...
Lauri Hella, Matti Järvisalo, Antti Kuusisto,...
HEURISTICS
2010
14 years 7 months ago
An adaptive memory algorithm for the split delivery vehicle routing problem
Abstract The split delivery vehicle routing problem (SDVRP) relaxes routing restrictions forcing unique deliveries to customers and allows multiple vehicles to satisfy customer dem...
Rafael E. Aleman, Xinhui Zhang, Raymond R. Hill
DAGM
2009
Springer
15 years 1 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
ICIP
2002
IEEE
15 years 11 months ago
Face detection using coarse-to-fine support vector classifiers
We describe a new face detection algorithm based on a hierarchy of support vector classifiers (SVMs) designed for efficient computation. The hierarchy serves as a platform for a c...
Hichem Sahbi, Donald Geman, Nozha Boujemaa
AUTOMATICA
2010
98views more  AUTOMATICA 2010»
14 years 9 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...