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IJCAI
2007
14 years 11 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
MICCAI
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. We perform discriminative analysis of brain structures using morphometric information. Spherical harmonics technique and point distribution model are used for shape descr...
ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
TIT
2010
14 years 4 months ago
2010
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...