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» Data Provenance: A Categorization of Existing Approaches
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ECCV
2008
Springer
15 years 11 months ago
Multiple Component Learning for Object Detection
Abstract. Object detection is one of the key problems in computer vision. In the last decade, discriminative learning approaches have proven effective in detecting rigid objects, a...
Boris Babenko, Pietro Perona, Piotr Dollár,...
96
Voted
CSDA
2008
128views more  CSDA 2008»
14 years 9 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
108
Voted
BMCBI
2006
165views more  BMCBI 2006»
14 years 9 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
BIOINFORMATICS
2011
14 years 1 months ago
A method for probing the mutational landscape of amyloid structure
Motivation: Proteins of all kinds can self-assemble into highly ordered β-sheet aggregates known as amyloid fibrils, important both biologically and clinically. However, the spe...
Charles W. O'Donnell, Jérôme Waldisp&...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 9 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano