Semi-supervised PCA-Based Face Recognition Using Self-training

Fabio Roli; Gian Luca Marcialis

doi:10.5281/zenodo.205470

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Semi-supervised PCA-Based Face Recognition Using Self-training

Fabio Roli Gian Luca Marcialis

Year: 2006 Lecture notes in computer science Pages: 560-568 Publisher: Springer Science+Business Media

DOI: 10.5281/zenodo.205470

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Keywords:

Computer science Principal component analysis Facial recognition system Template Artificial intelligence Pattern recognition (psychology) Face (sociological concept) Training set Exploit Set (abstract data type) Computer vision Machine learning

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Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Semi-supervised PCA-Based Face Recognition Using Self-training

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Citation History

Topics

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