Issue No. 03 - May/June (2012 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.55
Marc Joliveau , Université de Montréal, Canada
Michel Gendreau , École Polytechnique 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—such as human handwriting or faces under different viewing positions—with higher precision than existing methods.</p>
Visual perception, feature extractor, image processing, pattern recognition, dimensionality reduction, scientific computing
M. Gendreau and M. Joliveau, "Using Bilevel Feature Extractors to Reduce Dimensionality in Images," in Computing in Science & Engineering, vol. 14, no. , pp. 60-67, 2011.