Semi-Supervised Half-Quadratic Nonnegative Matrix Factorization for Face Recognition
Face recognition is a challenging problem in computer vision. Difficulties such as slight differences between similar faces of different people, changes in facial expressions, light and illumination condition, and pose variations add extra complications to the face recognition research. Many algorit...
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Language: | en |
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2014
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Online Access: | Alghamdi, M. M. (2014). Semi-Supervised Half-Quadratic Nonnegative Matrix Factorization for Face Recognition. KAUST Research Repository. https://doi.org/10.25781/KAUST-7780X http://hdl.handle.net/10754/317308 |