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» A data driven method for feature transformation
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NIPS
2007
13 years 9 months ago
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...
Christoforos Christoforou, Paul Sajda, Lucas C. Pa...
BMCBI
2006
143views more  BMCBI 2006»
13 years 7 months ago
Discovering functional gene expression patterns in the metabolic network of Escherichia coli with wavelets transforms
Background: Microarray technology produces gene expression data on a genomic scale for an endless variety of organisms and conditions. However, this vast amount of information nee...
Rainer König, Gunnar Schramm, Marcus Oswald, ...
ICCL
1998
IEEE
13 years 12 months ago
Modular Compilers Based on Monad Transformers
The monadic style of language speci cation has the advantages of modularity and extensibility: it is simple to add or change features in an interpreter to re ect modi cations in t...
William L. Harrison, Samuel N. Kamin
VAST
2004
ACM
14 years 1 months ago
Image-Based Registration of 3D-Range Data Using Feature Surface Elements
Digitizing real-life objects via range scanners, stereo vision or tactile sensors usually requires the composition of multiple range images. In this paper we exploit intensity ima...
Gerhard H. Bendels, Patrick Degener, Roland Wahl, ...
SAC
2006
ACM
14 years 1 months ago
On the architectural alignment of ATL and QVT
Transforming models is a critical activity in Model Driven Engineering (MDE). With the expected adoption of the OMG QVT standard for model transformation language it is anticipate...
Frédéric Jouault, Ivan Kurtev