7 search results - page 1 / 2 » Efficient update of the covariance matrix inverse in iterate... |
102
Voted
PRL
2010
14 years 5 months ago
2010
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
76
Voted
KES
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
CSB
2005
IEEE
15 years 4 days ago
2005
IEEE
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
67
Voted
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
102
Voted
PAKDD
2007
ACM
15 years 4 months ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...