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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
14 years 3 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
FOSAD
2000
Springer
14 years 1 months ago
Security Goals: Packet Trajectories and Strand Spaces
This material was presented in a series of lectures at fosad, a summer school on Foundations of Security Analysis and Design, at the University of Bologna Center at Bertinoro in Se...
Joshua D. Guttman
ICC
2008
IEEE
165views Communications» more  ICC 2008»
14 years 4 months ago
Analysis of Symbol Error Rates for Signal Space Diversity in Rayleigh Fading Channels
— A signal space diversity (SSD) scheme is one of techniques to achieve diversity gain in fading channels. This method consists of two key operations: constellation rotation and ...
Jihoon Kim, Inkyu Lee
SIBGRAPI
2005
IEEE
14 years 3 months ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
ECML
2005
Springer
14 years 3 months ago
A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems
Constraint programming is rapidly becoming the technology of choice for modelling and solving complex combinatorial problems. However, users of this technology need significant ex...
Christian Bessière, Remi Coletta, Fré...