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» SMP PCs: A Case Study on Cluster Computing
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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 7 months 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
15 years 8 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
15 years 3 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»
15 years 1 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,...
106
Voted
VLDB
2005
ACM
118views Database» more  VLDB 2005»
15 years 7 months 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