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» An ICA algorithm for analyzing multiple data sets
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BMCBI
2010
124views more  BMCBI 2010»
13 years 8 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
EMMCVPR
2001
Springer
14 years 12 days ago
Multiple Contour Finding and Perceptual Grouping as a Set of Energy Minimizing Paths
We address the problem of finding a set of contour curves in an image. We consider the problem of perceptual grouping and contour completion, where the data is a set of points in ...
Laurent D. Cohen, Thomas Deschamps
BMCBI
2010
105views more  BMCBI 2010»
13 years 8 months ago
Effects of scanning sensitivity and multiple scan algorithms on microarray data quality
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
Andrew Williams, Errol M. Thomson
SIGIR
2008
ACM
13 years 7 months ago
Analyzing web text association to disambiguate abbreviation in queries
We introduce a statistical model for abbreviation disambiguation in Web search, based on analysis of Web data resources, including anchor text, click log and query log. By combini...
Xing Wei, Fuchun Peng, Benoît Dumoulin
ADAC
2008
193views more  ADAC 2008»
13 years 8 months ago
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...