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Using Bilevel Feature Extractors to Reduce Dimensionality in Images
Found in: Computing in Science & Engineering
By Marc Joliveau,Michel Gendreau
Issue Date:May 2012
pp. 60-67
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 p...
 
Space-Time Summarization of Multisensor Time Series. Case of Missing Data
Found in: Data Mining Workshops, International Conference on
By Marc Joliveau, Florian De Vuyst
Issue Date:October 2007
pp. 631-636
A wide variety of application domains have to deal with incomplete data sets. In particular, data from sensors net- works are often incomplete due to factors like partial sys- tem failures or bad conditions of measurements. With such incomplete massive spa...
 
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