26 search results - page 1 / 6 » Regularized Mixed Dimensionality and Density Learning in Com... |
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
This paper proposes the fractional component analysis (FCA), whose goal is to decompose the observed signal into component signals and recover their fractions. The uniqueness of o...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...