Author: Chengjun Liu
Date: May 2006
IEEE PAMI,
Abstract:
A novel pattern recognition framework which integrates Gabor image representation, a novel multiclass Kernel Fisher Analysis (KFA) method, and fractional power polynomial models for improving pattern performance is presented.
Background
Feature extraction in pattern recognition needs to consider the effectiveness on both data representation and class separability.
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