Pattern recognition with composite correlation filters designed with multi-objective combinatorial optimization

Composite correlation filters are used for solving a wide variety of pattern recognition problems. These filters are given by a combination of several training templates chosen by a designer in an ad hoc manner. In this work, we present a new approach for the design of composite filters based on mul...

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Veröffentlicht in:	Optics communications 2015-03, Vol.338, p.77-89
Hauptverfasser:	Diaz-Ramirez, Victor H., Cuevas, Andres, Kober, Vitaly, Trujillo, Leonardo, Awwal, Abdul
Format:	Artikel
Sprache:	eng
Schlagworte:	Combinatorial analysis Combinatorial optimization Composite correlation filters Correlation Distortion Filter banks Multi-objective evolutionary algorithm Object recognition Optimization Pattern recognition Recognition Tradeoffs Training
Online-Zugang:	Volltext
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