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Issue No. 03 - May/June (2012 vol. 14)
ISSN: 1521-9615
pp: 60-67
Michel Gendreau , École Polytechnique de Montréal, Canada
Marc Joliveau , Université de Montréal, Canada
<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>
Visual perception, feature extractor, image processing, pattern recognition, dimensionality reduction, scientific computing
Michel Gendreau, Marc Joliveau, "Using Bilevel Feature Extractors to Reduce Dimensionality in Images", Computing in Science & Engineering, vol. 14, no. , pp. 60-67, May/June 2012, doi:10.1109/MCSE.2011.55
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