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» A Discriminant Analysis for Undersampled Data
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NECO
2000
190views more  NECO 2000»
13 years 7 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
ISMDA
2003
Springer
14 years 20 days ago
Data Imbalance in Surveillance of Nosocomial Infections
Abstract. An important problem that arises in hospitals is the monitoring and detection of nosocomial or hospital acquired infections (NIs). This paper describes a retrospective an...
Gilles Cohen, Melanie Hilario, Hugo Sax, Sté...
CIDM
2009
IEEE
14 years 2 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
INTERSPEECH
2010
13 years 2 months ago
Detecting categorical perception in continuous discrimination data
We present a method for assessing categorical perception from continuous discrimination data. Until recently, categorical perception of speech has exclusively been measured by dis...
Paul Boersma, Katerina Chládková
ICPR
2010
IEEE
13 years 10 months ago
Cluster-Pairwise Discriminant Analysis
Pattern recognition problems often suffer from the larger intra-class variation due to situation variations such as pose, walking speed, and clothing variations in gait recognition...
Yasushi Makihara, Yasushi Yagi