33 search results - page 6 / 7 » Sufficient Dimensionality Reduction for Visual Sequence Clas... |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
DATAMINE
2007
13 years 5 months ago
2007
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
AFRIGRAPH
2006
ACM
13 years 11 months ago
2006
ACM
The computation of high-fidelity images in real-time remains one of the key challenges for computer graphics. Recent work has shown that by understanding the human visual system,...
BMCBI
2008
13 years 5 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
IJCAI
2007
13 years 6 months ago
2007
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...