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BMCBI
2006
153views more  BMCBI 2006»
13 years 7 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
IMC
2010
ACM
13 years 5 months ago
Network tomography on correlated links
Network tomography establishes linear relationships between the characteristics of individual links and those of end-toend paths. It has been proved that these relationships can b...
Denisa Ghita, Katerina J. Argyraki, Patrick Thiran
CVPR
2004
IEEE
14 years 9 months ago
Bayesian Video Matting Using Learnt Image Priors
Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their op...
Nicholas Apostoloff, Andrew W. Fitzgibbon
SSDBM
2008
IEEE
150views Database» more  SSDBM 2008»
14 years 2 months ago
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
ICCV
2009
IEEE
15 years 20 days ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller