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FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
15 years 3 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li

Publication
141views
13 years 7 months ago
Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes
In this paper we address the problem of defining a measure of diversity for a population of individuals whose genome can be subjected to major reorganizations during the evolution...
Claudio Mattiussi, Markus Waibel, Dario Floreano
ANOR
2010
153views more  ANOR 2010»
14 years 6 months ago
Solving the Rectangular assignment problem and applications
The rectangular assignment problem is a generalization of the linear assignment problem (LAP): one wants to assign a number of persons to a smaller number of jobs, minimizing the ...
J. Bijsterbosch, A. Volgenant
DLT
2006
14 years 10 months ago
Noncanonical LALR(1) Parsing
This paper addresses the longstanding problem of the recognition limitations of classical LALR(1) parser generators by proposing the usage of noncanonical parsers. To this end, we...
Sylvain Schmitz
NIPS
2004
14 years 10 months ago
Efficient Kernel Discriminant Analysis via QR Decomposition
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...