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» SMP PCs: A Case Study on Cluster Computing
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 22 days ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
ISPAN
2009
IEEE
14 years 2 months ago
High-Performance Cloud Computing: A View of Scientific Applications
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
CRIWG
2006
13 years 9 months ago
Social Visualization Encouraging Participation in Online Communities
The paper describes a further development of the design of a motivational visualization encouraging participation in an online community. The new design overcomes shortcomings in p...
Lingling Sun, Julita Vassileva
BMCBI
2005
136views more  BMCBI 2005»
13 years 7 months ago
Identification of clustered microRNAs using an ab initio prediction method
Background: MicroRNAs (miRNAs) are endogenous 21 to 23-nucleotide RNA molecules that regulate protein-coding gene expression in plants and animals via the RNA interference pathway...
Alain Sewer, Nicodème Paul, Pablo Landgraf,...
VLDB
2005
ACM
118views Database» more  VLDB 2005»
14 years 29 days ago
Mining Compressed Frequent-Pattern Sets
A major challenge in frequent-pattern mining is the sheer size of its mining results. In many cases, a high min sup threshold may discover only commonsense patterns but a low one ...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng