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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 11 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
GECCO
2010
Springer
160views Optimization» more  GECCO 2010»
15 years 11 months ago
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed
In a companion paper, we presented a weighted negative update of the covariance matrix in the CMA-ES—weighted active CMA-ES or, in short, aCMA-ES. In this paper, we benchmark th...
Nikolaus Hansen, Raymond Ros
APGV
2007
ACM
104views Visualization» more  APGV 2007»
15 years 10 months ago
On the empirical limits of billboard rotation
This paper describes an experiment investigating for the first time, the perceptual tolerance of inconsistent projections when rotated billboards are transformed and included in a...
Elodie Fourquet, William Cowan, Stephen Mann
FPL
2006
Springer
125views Hardware» more  FPL 2006»
15 years 10 months ago
Application-Specific Memory Interleaving for FPGA-Based Grid Computations: A General Design Technique
Many compute-intensive applications generate single result values by accessing clusters of nearby points in grids of one, two, or more dimensions. Often, the performance of FGPA i...
Tom Van Court, Martin C. Herbordt
GD
2006
Springer
15 years 10 months ago
Upright-Quad Drawing of st -Planar Learning Spaces
We consider graph drawing algorithms for learning spaces, a type of st-oriented partial cube derived from an antimatroid and used to model states of knowledge of students. We show...
David Eppstein