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ICML
2000
IEEE
16 years 7 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
15 years 7 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
IPPS
2003
IEEE
15 years 11 months ago
Design and Evaluation of a Parallel HOP Clustering Algorithm for Cosmological Simulation
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
CVPR
2006
IEEE
16 years 8 months ago
Extracting Subimages of an Unknown Category from a Set of Images
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
Sinisa Todorovic, Narendra Ahuja
VRCAI
2006
ACM
16 years 13 days ago
Kinetic bounding volume hierarchies for deformable objects
We present novel algorithms for updating bounding volume hierarchies of objects undergoing arbitrary deformations. Therefore, we introduce two new data structures, the kinetic AAB...
Gabriel Zachmann, Rene Weller