93 search results - page 18 / 19 » Supervised probabilistic principal component analysis |
JMLR
2006
13 years 7 months ago
2006
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
PAMI
2007
13 years 7 months ago
2007
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
ICA
2012
Springer
12 years 3 months ago
2012
Springer
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
BMCBI
2007
2007
Application of amino acid occurrence for discriminating different folding types of globular proteins
13 years 7 months ago
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...