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Issue No.03 - May/June (2012 vol.14)
pp: 60-67
Marc Joliveau , Université de Montréal, Canada
Michel Gendreau , École Polytechnique de Montréal, Canada
ABSTRACT
<p>A bilevel procedure for dimensionality reduction makes it possible to discover the underlying global geometry of a complex natural observations dataset&#x2014;such as human handwriting or faces under different viewing positions&#x2014;with higher precision than existing methods.</p>
INDEX TERMS
Visual perception, feature extractor, image processing, pattern recognition, dimensionality reduction, scientific computing
CITATION
Marc Joliveau, Michel Gendreau, "Using Bilevel Feature Extractors to Reduce Dimensionality in Images", Computing in Science & Engineering, vol.14, no. 3, pp. 60-67, May/June 2012, doi:10.1109/MCSE.2011.55
REFERENCES
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10. M. Joliveau, Reduction of Urban Traffic Time Series from Georeferenced Sensors, and Extraction of Spatio-Temporal Series, doctoral dissertation (in French), École Centrale Des Arts et Manufactures, École Centrale Paris, Paris, France, 2008.
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