447 search results - page 12 / 90 » Linear discriminant analysis for data with subcluster struct... |
TKDE
2008
13 years 10 months ago
2008
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
SIBGRAPI
2006
IEEE
14 years 4 months ago
2006
IEEE
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
KDD
2006
ACM
14 years 11 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
ACCV
2009
Springer
14 years 5 months ago
2009
Springer
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...