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BMCBI
2007
173views more  BMCBI 2007»
14 years 9 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
SIAMIS
2010
156views more  SIAMIS 2010»
14 years 4 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
PPOPP
2009
ACM
15 years 10 months ago
Effective performance measurement and analysis of multithreaded applications
Understanding why the performance of a multithreaded program does not improve linearly with the number of cores in a sharedmemory node populated with one or more multicore process...
Nathan R. Tallent, John M. Mellor-Crummey
70
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HPCC
2005
Springer
15 years 3 months ago
A Coarse Grained Parallel Algorithm for Closest Larger Ancestors in Trees with Applications to Single Link Clustering
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Albert Chan, Chunmei Gao, Andrew Rau-Chaplin
ICML
2010
IEEE
14 years 7 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett