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» Feature Selection using Multiple Streams
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HAIS
2010
Springer
13 years 7 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
BMCBI
2007
140views more  BMCBI 2007»
13 years 10 months ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...
ICPR
2010
IEEE
13 years 8 months ago
A Game-Theoretic Approach to Robust Selection of Multi-View Point Correspondence
In this paper we introduce a robust matching technique that allows to operate a very accurate selection of corresponding feature points from multiple views. Robustness is achieved...
Emanuele Rodolà, Andrea Albarelli, Andrea Torsell...
ISORC
2007
IEEE
14 years 4 months ago
QoS Management of Real-Time Data Stream Queries in Distributed Environments
Many emerging applications operate on continuous unbounded data streams and need real-time data services. Providing deadline guarantees for queries over dynamic data streams is a ...
Yuan Wei, Vibha Prasad, Sang Hyuk Son
BMCBI
2005
107views more  BMCBI 2005»
13 years 9 months ago
Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
Jiren Wang, Wing-Kin Sung, Arun Krishnan, Kuo-Bin ...