Kernel-Optimization-Based Face Recognition

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Abstract

Feature extraction is an important step and essential process in many data analysis areas, such as face recognition, handwriting recognition, human facial expression analysis, speech recognition.

Keywords

Kernel Matrix Kernel Principal Component Analysis Kernel Learning Kernel Optimization High Recognition Accuracy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Automatic Test and ControlHarbin Institute of TechnologyHarbinPeople’s Republic of China
  2. 2.School of Information and EngineeringFlinders University of South AustraliaBedford ParkAustralia
  3. 3.HIT Shenzhen Graduate SchoolHarbin Institute of TechnologyShenzhenPeople’s Republic of China

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