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» From Comparing Clusterings to Combining Clusterings
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CORR
2007
Springer
170views Education» more  CORR 2007»
13 years 9 months ago
The structure of verbal sequences analyzed with unsupervised learning techniques
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
Catherine Recanati, Nicoleta Rogovschi, Youn&egrav...
ADHOC
2007
139views more  ADHOC 2007»
13 years 9 months ago
Bounded-distance multi-clusterhead formation in wireless ad hoc networks
We present a clustering technique addressing redundancy for bounded-distance clusters, which means being able to determine the minimum number of cluster-heads per node, and the ma...
Marco Aurélio Spohn, J. J. Garcia-Luna-Acev...
COMPSAC
2003
IEEE
14 years 2 months ago
Protecting Distributed Software Upgrades that Involve Message-Passing Interface Changes
We present in this paper an extension of the messagedriven confidence-driven framework that we developed for onboard guarded software upgrading. The purpose of this work is to pr...
Ann T. Tai, Kam S. Tso, William H. Sanders
ICPR
2010
IEEE
13 years 11 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
ICPR
2002
IEEE
14 years 2 months ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li