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» Support Vector Machines Applied to Face Recognition
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82
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FGR
2000
IEEE
122views Biometrics» more  FGR 2000»
15 years 5 months ago
Support Vector Regression and Classification Based Multi-View Face Detection and Recognition
Yongmin Li, Shaogang Gong, Heather M. Liddell
92
Voted
ICPR
2004
IEEE
16 years 1 months ago
Applying A Hybrid Method To Handwritten Character Recognition
In this paper, we propose a new prototype learning/matching method that can be combined with support vector machines (SVM) in pattern recognition. This hybrid method has the follo...
Chin-Chin Lin, Chun-Jen Chen, Fu Chang
108
Voted
ICPR
2006
IEEE
16 years 1 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
NIPS
1996
15 years 2 months ago
Improving the Accuracy and Speed of Support Vector Machines
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Christopher J. C. Burges, Bernhard Schölkopf
110
Voted
AVBPA
2003
Springer
140views Biometrics» more  AVBPA 2003»
15 years 6 months ago
Combining SVM Classifiers for Multiclass Problem: Its Application to Face Recognition
Abstract. In face recognition, a simple classifier such as NNk − is frequently used. For a robust system, it is common to construct the multiclass classifier by combining the out...
Jaepil Ko, Hyeran Byun