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CSDA
2004
124views more  CSDA 2004»
13 years 9 months ago
Fast and robust discriminant analysis
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
Mia Hubert, Katrien van Driessen
ICPR
2008
IEEE
14 years 11 months ago
Handwritten Chinese character recognition using Local Discriminant Projection with Prior Information
In this paper, we propose a new method to model the manifold of handwritten Chinese characters using the local discriminant projection. We utilize a cascade framework that combine...
Honggang Zhang, Jie Yang, Jun Guo, Weihong Deng
CVPR
2004
IEEE
14 years 12 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
TASLP
2002
124views more  TASLP 2002»
13 years 9 months ago
Discriminating capabilities of syllable-based features and approaches of utilizing them for voice retrieval of speech informatio
With the rapidly growing use of the audio and multimedia information over the Internet, the technology for retrieving speech information using voice queries is becoming more and mo...
Berlin Chen, Hsin-Min Wang, Lin-Shan Lee
ICIP
2001
IEEE
14 years 11 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer