55 search results - page 5 / 11 » Laplacian PCA and Its Applications |
CAIP
2009
Springer
14 years 2 months ago
2009
Springer
A fully automatic colour texture editing method is proposed, which allows to synthesise and enlarge an artificial texture sharing anticipated properties from its parent textures. ...
JCIT
2010
13 years 2 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
BMCBI
2010
13 years 7 months ago
2010
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...