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APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
13 years 9 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
CGF
2010
111views more  CGF 2010»
13 years 7 months ago
One Point Isometric Matching with the Heat Kernel
A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure-preserving maps between them. A particul...
Maks Ovsjanikov, Quentin Mérigot, Facundo M...
MP
2002
176views more  MP 2002»
13 years 7 months ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell
ICMCS
2006
IEEE
227views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Adaptive Dual AK-D Tree Search Algorithm for ICP Registration Applications
An algorithm for finding coupling points plays an important role in the Iterative Closest Point algorithm (ICP) which is widely used in registration applications in medical and 3-...
Jiann-Der Lee, Shih-Sen Hsieh, Chung-Hsien Huang, ...
CEC
2009
IEEE
14 years 2 months ago
A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han...