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» A Discriminant Analysis for Undersampled Data
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JMLR
2010
128views more  JMLR 2010»
13 years 2 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
MVA
2007
106views Computer Vision» more  MVA 2007»
13 years 7 months ago
Feature Extraction from Biological Motion of Human Gait Patterns for Emotion Discrimination
We study a method of a feature extraction to discriminate emotions of human from a sensing data of human gait patterns as ”Biological motion data”. We assume that the high–d...
Hidenori Maruta, Masahiro Ishii
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 1 months ago
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
Gero Szepannek, Claus Weihs
PKDD
2010
Springer
138views Data Mining» more  PKDD 2010»
13 years 6 months ago
Constructing Nonlinear Discriminants from Multiple Data Views
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
Tom Diethe, David R. Hardoon, John Shawe-Taylor
KES
2006
Springer
13 years 7 months ago
Alertness Assessment Using Data Fusion and Discrimination Ability of LVQ-Networks
To track the alertness changes of 14 subjects during a night driving simulation study traditional alertness measures such Visual Analog Sleepiness Scale, Alpha Attenuation Test (AA...
Udo Trutschel, David Sommer, Acacia Aguirre, Todd ...