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» Approximate Kernel Clustering
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UAI
2003
14 years 11 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
DATE
2009
IEEE
113views Hardware» more  DATE 2009»
15 years 4 months ago
Algorithms for the automatic extension of an instruction-set
Abstract—In this paper, two general algorithms for the automatic generation of instruction-set extensions are presented. The basic instruction set of a reconfigurable architectu...
Carlo Galuzzi, Dimitris Theodoropoulos, Roel Meeuw...
EGITALY
2006
14 years 11 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
EMMCVPR
2005
Springer
15 years 3 months ago
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
SODA
2003
ACM
126views Algorithms» more  SODA 2003»
14 years 11 months ago
Smaller core-sets for balls
We prove the existence of small core-sets for solving approximate k-center clustering and related problems. The size of these core-sets is considerably smaller than the previously...
Mihai Badoiu, Kenneth L. Clarkson