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» Input Modeling Using Quantile Statistical Methods
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MASCOTS
2007
15 years 4 months ago
Network Performance Analysis based on Histogram Workload Models
Network performance analysis relies mainly on two models: a workload model and a performance model. This paper proposes to use histograms for characterising the arrival workloads ...
Enrique Hernández-Orallo, Joan Vila-Carb&oa...
125
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TIP
2008
193views more  TIP 2008»
15 years 2 months ago
Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids
In recent years Bayes Least Squares - Gaussian scale mixtures (BLS-GSM) has emerged as one of the most powerful methods for image restoration. Its strength relies on providing a si...
Jose A. Guerrero-Colon, Luis Mancera, Javier Porti...
MICCAI
2005
Springer
16 years 3 months ago
Mosaicing of Confocal Microscopic In Vivo Soft Tissue Video Sequences
Abstract. Fibered confocal microscopy allows in vivo and in situ imaging with cellular resolution. The potentiality of this imaging modality is extended in this work by using video...
Tom Vercauteren, Aymeric Perchant, Xavier Pennec, ...
BMCBI
2007
105views more  BMCBI 2007»
15 years 3 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf
BMCBI
2008
173views more  BMCBI 2008»
15 years 3 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal