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Geometric Mean for Subspace Selection

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
Subspace selection approaches are powerful tools in pattern classification and data visualization. One of the most important subspace approaches is the linear dimensionality reduction step in the Fisher's linear discriminant analysis (FLDA), which has been successfully employed in many fields such as biometrics, bioinformatics, and multimedia ...
Dacheng Tao   +3 more
openaire   +2 more sources

The Geometrical Meaning of Time

Foundations of Physics, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

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