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EMO
2005
Springer
110views Optimization» more  EMO 2005»
16 years 1 days ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 6 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
COMPUTER
1998
131views more  COMPUTER 1998»
15 years 6 months ago
Windows NT Clustering Service
ER ABSTRACTIONS ter service uses several abstractions— including resource, resource dependencies, and resource groups—to simplify both the cluster service itself and user-visib...
Rod Gamache, Rob Short, Mike Massa
ECCV
2006
Springer
16 years 8 months ago
Aligning Sequences and Actions by Maximizing Space-Time Correlations
Abstract. We introduced an algorithm for sequence alignment, based on maximizing local space-time correlations. Our algorithm aligns sequences of the same action performed at diffe...
Yaron Ukrainitz, Michal Irani
ESAW
2009
Springer
16 years 1 months ago
PreSage-MS: Metric Spaces in PreSage
Abstract. We consider adaptation in open systems, i.e. systems without global objects or common objectives. There are three related issues: how to make the degrees of freedom (DoFs...
Hugo Carr, Alexander Artikis, Jeremy Pitt