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» A data driven method for feature transformation
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BMCBI
2011
13 years 2 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
EFDBS
2000
13 years 9 months ago
Adding Conflict Resolution Features to a Query Language for Database Federations
A main problem of data integration is the treatment of conflicts caused by different modeling of real-world entities, different data models or simply by different representations ...
Kai-Uwe Sattler, Stefan Conrad, Gunter Saake
BMCBI
2006
140views more  BMCBI 2006»
13 years 7 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
IWINAC
2005
Springer
14 years 1 months ago
Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis
spike separation is a basic prerequisite for analyzing of the cooperative neural behavior and neural code when registering extracelluIarly. Final performance of any spike sorting m...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
HT
2004
ACM
14 years 1 months ago
Automatic generation of hypertext system repositories: a model driven approach
In this paper, we present a model-driven methodology and toolset for automatic generation of hypertext system repositories. Our code generator, called Bamboo, is based on a Contai...
E. James Whitehead Jr., Guozheng Ge, Kai Pan