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» Clustering performance data efficiently at massive scales
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88
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GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 7 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
158
Voted

Publication
217views
17 years 16 days ago
Towards Efficient Search on Unstructured Data: An Intelligent-Storage Approach
Applications that create and consume unstructured data have grown both in scale of storage requirements and complexity of search primitives. We consider two such applications: exha...
Aravindan Raghuveer, Biplob K. Debnath, David Hung...
PRL
2008
135views more  PRL 2008»
15 years 23 days ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa
111
Voted
MMM
2009
Springer
151views Multimedia» more  MMM 2009»
15 years 9 months ago
Large Scale Concept Detection in Video Using a Region Thesaurus
This paper presents an approach on high-level feature detection within video documents, using a Region Thesaurus. A video shot is represented by a single keyframe and MPEG-7 featur...
Evaggelos Spyrou, Giorgos Tolias, Yannis S. Avrith...
DSN
2000
IEEE
15 years 5 months ago
Data Replication Strategies for Fault Tolerance and Availability on Commodity Clusters
Recent work has shown the advantages of using persistent memory for transaction processing. In particular, the Vista transaction system uses recoverable memory to avoid disk I/O, ...
Cristiana Amza, Alan L. Cox, Willy Zwaenepoel