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IPPS
2010
IEEE
15 years 2 months ago
Scalability analysis of embarassingly parallel applications on large clusters
This work presents a scalability analysis of embarrassingly parallel applications running on cluster and multi-cluster machines. Several applications can be included in this catego...
Fabrício Alves Barbosa da Silva, Hermes Sen...
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
14 years 11 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
15 years 10 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
ACSC
2005
IEEE
15 years 9 months ago
A Framework of Filtering, Clustering and Dynamic Layout Graphs for Visualization
Many classical graph visualization algorithms have already been developed over the past decades. However, these algorithms face difficulties in practice, such as the overlapping n...
Xiaodi Huang, Peter Eades, Wei Lai