Robust Face Recognition using Minimax Probability Machine

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 classificati...

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Main Authors: HOI, Steven, LYU, Michael R.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/2400
http://dx.doi.org/10.1109/ICME.2004.1394428
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-34002016-01-14T06:43:45Z Robust Face Recognition using Minimax Probability Machine HOI, Steven LYU, Michael R. 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 2004-06-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/2400 info:doi/10.1109/ICME.2004.1394428 http://dx.doi.org/10.1109/ICME.2004.1394428 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University face recognition image classification minimax techniques probability Computer Sciences Databases and Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic face recognition
image classification
minimax techniques
probability
Computer Sciences
Databases and Information Systems
spellingShingle face recognition
image classification
minimax techniques
probability
Computer Sciences
Databases and Information Systems
HOI, Steven
LYU, Michael R.
Robust Face Recognition using Minimax Probability Machine
description 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
format text
author HOI, Steven
LYU, Michael R.
author_facet HOI, Steven
LYU, Michael R.
author_sort HOI, Steven
title Robust Face Recognition using Minimax Probability Machine
title_short Robust Face Recognition using Minimax Probability Machine
title_full Robust Face Recognition using Minimax Probability Machine
title_fullStr Robust Face Recognition using Minimax Probability Machine
title_full_unstemmed Robust Face Recognition using Minimax Probability Machine
title_sort robust face recognition using minimax probability machine
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/sis_research/2400
http://dx.doi.org/10.1109/ICME.2004.1394428
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