Energy-constrained discriminant analysis

Dimensionality reduction algorithms have become an indispensable tool for working with high-dimensional data in classification. Linear discriminant analysis (LDA) is a popular analysis technique used to project high-dimensional data into a lower-dimensional space while maximizing class separability....

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Bibliographic Details
Main Authors: Philips, Scott M. (Contributor), Berisha, Visar (Contributor), Spanias, Andreas (Author)
Other Authors: Lincoln Laboratory (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-12-08T18:23:46Z.
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