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» Generalized Discriminant Analysis Using a Kernel Approach
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ICDAR
2007
IEEE
14 years 3 months ago
Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
J. Chen, Y. Wang
SPEECH
1998
171views more  SPEECH 1998»
13 years 8 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou
TIFS
2010
173views more  TIFS 2010»
13 years 7 months ago
A hybrid approach for generating secure and discriminating face template
Abstract—Biometric template protection is one of the most important issues in deploying a practical biometric system. To tackle this problem, many algorithms, that do not store t...
Yi C. Feng, Pong C. Yuen, Anil K. Jain
CVPR
2007
IEEE
14 years 10 months ago
Learning Object Material Categories via Pairwise Discriminant Analysis
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
Zhouyu Fu, Antonio Robles-Kelly
SIGMOD
2010
ACM
176views Database» more  SIGMOD 2010»
14 years 1 months ago
DCUBE: discrimination discovery in databases
Discrimination discovery in databases consists in finding unfair practices against minorities which are hidden in a dataset of historical decisions. The DCUBE system implements t...
Salvatore Ruggieri, Dino Pedreschi, Franco Turini