447 search results - page 9 / 90 » Linear discriminant analysis for data with subcluster struct... |
PAMI
1998
13 years 10 months ago
1998
—Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation of multivariate data. Most visualization algorithms aim to find a projec...
SIAMMAX
2010
13 years 5 months ago
2010
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
ECML
2005
Springer
14 years 4 months ago
2005
Springer
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
ICPR
2006
IEEE
14 years 4 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
CVPR
2007
IEEE
15 years 20 days ago
2007
IEEE
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...