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ICPR
2000
IEEE
16 years 7 months ago
A Cluster Grouping Technique for Texture Segmentation
We propose an algorithm for texture segmentation based on a divide-and-conquerstrategy of statistical modeling.Selectedsets of Gaussianclusters,estimated via ExpectationMaximizati...
Roberto Manduchi
IMCSIT
2010
15 years 4 months ago
Multiscale Segmentation Based On Mode-Shift Clustering
We present a novel segmentation technique that effectively segments natural images. The method is designed for the purpose of image retrieval and follows the principle of clusterin...
Wojciech Tarnawski, Lukasz Miroslaw, Roman Pawliko...
TCC
2007
Springer
100views Cryptology» more  TCC 2007»
16 years 26 days ago
Private Approximation of Clustering and Vertex Cover
Private approximation of search problems deals with finding approximate solutions to search problems while disclosing as little information as possible. The focus of this work is ...
Amos Beimel, Renen Hallak, Kobbi Nissim
COMPGEOM
2006
ACM
16 years 22 days ago
A fast k-means implementation using coresets
In this paper we develop an efficient implementation for a k-means clustering algorithm. The novel feature of our algorithm is that it uses coresets to speed up the algorithm. A ...
Gereon Frahling, Christian Sohler
ICS
2010
Tsinghua U.
15 years 9 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...