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| Marc Joliveau, Michel Gendreau, "Using Bilevel Feature Extractors to Reduce Dimensionality in Images," Computing in Science and Engineering, vol. 14, no. 3, pp. 60-67, May/June, 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2011.55, author = {Marc Joliveau and Michel Gendreau}, title = {Using Bilevel Feature Extractors to Reduce Dimensionality in Images}, journal ={Computing in Science and Engineering}, volume = {14}, number = {3}, issn = {1521-9615}, year = {2012}, pages = {60-67}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.55}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - Using Bilevel Feature Extractors to Reduce Dimensionality in Images IS - 3 SN - 1521-9615 SP60 EP67 EPD - 60-67 A1 - Marc Joliveau, A1 - Michel Gendreau, PY - 2012 KW - Visual perception KW - feature extractor KW - image processing KW - pattern recognition KW - dimensionality reduction KW - scientific computing VL - 14 JA - Computing in Science and Engineering ER - | |||
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.
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