Robust Face Recognition using Minimax Probability Machine
Conference Proceeding Article
Face recognition has been widely explored. Many techniques have been applied in various applications. Robustness and reliability become more and more important for these applications especially, in security systems. A new face recognition approach is proposed based on a state-of-the-art classification technique called minimax probability machine (MPM). Engaging the binary MPM technique, we present a multi-class MPM classification for robust face recognition. In experiments, we compare our MPM-based face recognition algorithm with traditional techniques, including neural network and support vector machine. The experimental results show that the MPM-based face recognition technique is competitive and promising for robust face recognition
face recognition, image classification, minimax techniques, probability
Computer Sciences | Databases and Information Systems
Data Management and Analytics
International Conference on Multimedia and Expo ICME 2004: June 27-30, 2004, Taipei, Taiwan: Proceedings
City or Country
HOI, Steven and LYU, Michael R..
Robust Face Recognition using Minimax Probability Machine. (2004). International Conference on Multimedia and Expo ICME 2004: June 27-30, 2004, Taipei, Taiwan: Proceedings. 1175-1178. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/2400