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TEC
2010
171views more  TEC 2010»
13 years 3 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
11 years 11 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
INFOSCALE
2007
ACM
13 years 10 months ago
Citation data clustering for author name disambiguation
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
Tomonari Masada, Atsuhiro Takasu, Jun Adachi
CP
2008
Springer
13 years 11 months ago
Switching among Non-Weighting, Clause Weighting, and Variable Weighting in Local Search for SAT
One way to design a local search algorithm that is effective on many types of instances is allowing this algorithm to switch among heuristics. In this paper, we refer to the way in...
Wanxia Wei, Chu Min Li, Harry Zhang
WSCG
2001
97views more  WSCG 2001»
13 years 10 months ago
Parallel Ray Tracing with 5D Adaptive Subdivision
We present strategies for parallelising ray tracing based on 5D adaptive subdivision. Our goals are to obtain good speed-up and to efficiently balance the load between the process...
G. Simiakakis, Theoharis Theoharis, A. M. Day