327 search results - page 2 / 66 » A Spectral Approach to Learning Structural Variations in Gra... |
ICMCS
2009
IEEE
13 years 3 months ago
2009
IEEE
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
MICCAI
2005
Springer
14 years 6 months ago
2005
Springer
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
GFKL
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
BMCV
2000
Springer
13 years 9 months ago
2000
Springer
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...