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» A branch and bound method for stochastic global optimization
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ATAL
2008
Springer
14 years 11 months ago
On k-optimal distributed constraint optimization algorithms: new bounds and algorithms
Distributed constraint optimization (DCOP) is a promising approach to coordination, scheduling and task allocation in multi agent networks. In large-scale or low-bandwidth network...
Emma Bowring, Jonathan P. Pearce, Christopher Port...
ICCV
2009
IEEE
14 years 7 months ago
Consensus set maximization with guaranteed global optimality for robust geometry estimation
Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-determinis...
Hongdong Li
104
Voted
CORR
2007
Springer
106views Education» more  CORR 2007»
14 years 9 months ago
Bandit Algorithms for Tree Search
Bandit based methods for tree search have recently gained popularity when applied to huge trees, e.g. in the game of go [6]. Their efficient exploration of the tree enables to ret...
Pierre-Arnaud Coquelin, Rémi Munos
85
Voted
CCO
2001
Springer
161views Combinatorics» more  CCO 2001»
15 years 2 months ago
Branch, Cut, and Price: Sequential and Parallel
Branch, cut, and price (BCP) is an LP-based branch and bound technique for solving large-scale discrete optimization problems (DOPs). In BCP, both cuts and variables can be generat...
Laszlo Ladányi, Ted K. Ralphs, Leslie E. Tr...
ICASSP
2008
IEEE
15 years 4 months ago
A method for locating multiple sources from a frame of a large-aperture microphone array data without tracking
In this paper we present a new method for locating multiple sound sources using only a local segment of data from a large-aperture microphone array. The result of this work may be...
Hoang Do, Harvey F. Silverman