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AI
1999
Springer
15 years 6 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
TSMC
2002
107views more  TSMC 2002»
15 years 6 months ago
Guaranteed robust nonlinear estimation with application to robot localization
When reliable prior bounds on the acceptable errors between the data and corresponding model outputs are available, bounded-error estimation techniques make it possible to characte...
Luc Jaulin, Michel Kieffer, Eric Walter, Dominique...
TSE
2010
136views more  TSE 2010»
15 years 5 months ago
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search
Search based optimization techniques have been applied to structural software test data generation since 1992, with a recent upsurge in interest and activity within this area. How...
Mark Harman, Phil McMinn
CCIA
2009
Springer
15 years 4 months ago
Patch Growing: Object segmentation using spatial coherence of local patches
Object segmentation is a challenging and important problem in computer vision. The difficulties to obtain accurate segmentations using only the traditional Topdown or Bottom-up ap...
Marc Masias, Albert Torrent, Xavier Lladó, ...
ICASSP
2011
IEEE
14 years 10 months ago
Graphical models for localization of the seizure focus from interictal intracranial EEG
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
Justin Dauwels, Emad N. Eskandar, Andy Cole, Dan H...