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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 8 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
15 years 8 months ago
A bounded uncertainty approach to cooperative localization using relative bearing constraints
— This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...
Camillo J. Taylor, John R. Spletzer
SODA
1993
ACM
119views Algorithms» more  SODA 1993»
15 years 3 months ago
Iterated Nearest Neighbors and Finding Minimal Polytopes
We introduce a new method for nding several types of optimal k-point sets, minimizing perimeter, diameter, circumradius, and related measures, by testing sets of the O(k) nearest ...
David Eppstein, Jeff Erickson
GLOBECOM
2008
IEEE
15 years 2 months ago
Energy Efficient Estimation of Gaussian Sources over Inhomogeneous Gaussian MAC Channels
In this paper, we first provide a joint source and channel coding (JSCC) approach in estimating Gaussian sources over Gaussian MAC channels, as well as its sufficient and necessary...
Shuangqing Wei, Rajgopal Kannan, S. Sitharama Iyen...
DCG
2010
171views more  DCG 2010»
15 years 2 months ago
Bregman Voronoi Diagrams
The Voronoi diagram of a point set is a fundamental geometric structure that partitions the space into elementary regions of influence defining a discrete proximity graph and dual...
Jean-Daniel Boissonnat, Frank Nielsen, Richard Noc...