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» Classification Using a Hierarchical Bayesian Approach
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BMCBI
2008
186views more  BMCBI 2008»
14 years 11 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 11 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
ICDIM
2008
IEEE
15 years 6 months ago
Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
Mikalai Krapivin, Maurizio Marchese, Andrei Yadran...
IH
2010
Springer
14 years 9 months ago
The Influence of the Image Basis on Modeling and Steganalysis Performance
Abstract. We compare two image bases with respect to their capabilities for image modeling and steganalysis. The first basis consists of wavelets, the second is a Laplacian pyramid...
Valentin Schwamberger, Pham Hai Dang Le, Bernhard ...
ICCV
1999
IEEE
16 years 1 months ago
A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin