325 search results - page 31 / 65 » Statistical Properties of Kernel Principal Component Analysi... |
ICPR
2000
IEEE
14 years 1 months ago
2000
IEEE
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...
NIPS
2008
13 years 10 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
ICASSP
2011
IEEE
13 years 13 days ago
2011
IEEE
In the independent component analysis, polynomial functions of higher order statistics are often used as cost functions. However, such cost functions usually have many local minim...
BMCBI
2007
13 years 8 months ago
2007
Background: Urine from male Sprague-Dawley rats 25, 40, and 80 days old was analyzed by NMR and UPLC/MS. The effects of data normalization procedures on principal component analys...
NIPS
2008
13 years 10 months ago
2008
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...