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CVPR
2008
IEEE
14 years 11 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye
TREC
2003
13 years 10 months ago
Edinburgh-Stanford TREC-2003 Genomics Track
We describe our participation in both tasks in the 2003 TREC Genomics track. For the primary task we concentrated mainly upon query expansion and species-specific document search...
Miles Osborne, Mark Cuminskey, Gail Sinclair, Matt...
TNN
2008
105views more  TNN 2008»
13 years 8 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
ESA
2004
Springer
117views Algorithms» more  ESA 2004»
14 years 2 months ago
Classroom Examples of Robustness Problems in Geometric Computations
The algorithms of computational geometry are designed for a machine model with exact real arithmetic. Substituting floating-point arithmetic for the assumed real arithmetic may c...
Lutz Kettner, Kurt Mehlhorn, Sylvain Pion, Stefan ...
COOPIS
2003
IEEE
14 years 2 months ago
Profiling and Matchmaking Strategies in Support of Opportunistic Collaboration
With the recent advances in communications technologies and decentralization of work practices, there has been an increase in distributed, remote, computerized work environments. I...
Adriana Santarosa Vivacqua, Melfry Moreno, Jano Mo...