1395 search results - page 2 / 279 » Manifold Discriminant Analysis |
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a semi-supervised learning algorithm for discriminant analysis, which uses the geometric structure of both labeled and unlabeled samples and perform a manifold regulari...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...
IJCAI
2007
13 years 6 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
PR
2010
13 years 3 months ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
WACV
2012
IEEE
12 years 15 days ago
2012
IEEE
A convenient way of analysing Riemannian manifolds is to embed them in Euclidean spaces, with the embedding typically obtained by flattening the manifold via tangent spaces. This...