1109 search results - page 30 / 222 » Cluster-Pairwise Discriminant Analysis |
IDEAL
2005
Springer
14 years 3 months ago
2005
Springer
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
ESANN
2006
13 years 11 months ago
2006
Abstract. We present a new method for analyzing classifiers by visualization, which we call visual nonlinear discriminant analysis. Classifiers that output posterior probabilities ...
ICB
2009
Springer
14 years 4 months ago
2009
Springer
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
IJPRAI
2006
13 years 9 months ago
2006
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...