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Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition
Nonlinear Interval-Type Features Symbolic KDA Algorithm Face Recognition
2009/9/4
We present symbolic kernel discriminant analysis (symbolic KDA) for face recognition in the framework of symbolic data analysis. Classical KDA extracts features, which are single-valued in nature to r...
A NOVEL FEATURE EXTRACTION METHOD FOR ISOLATED WORD RECOGNITION BASED ON NESTED TEMPORAL AVERAGING
Speech recognition Pattern classification Neural Networks Support Vector Machines
2010/1/12
A novel preprocessing method is proposed. It has a reduced complexity and therefore is aimed to be used in low power, VLSI implemented, speech recognizers. Our algorithm extracts a feature vector made...