468 search results - page 15 / 94 » Riemannian Manifold Learning |
JMLR
2010
13 years 2 months ago
2010
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Image patches are fundamental elements for object modeling and recognition. However, there has not been a panoramic study of the structures of the whole ensemble of natural image ...
SIAMMA
2010
13 years 2 months ago
2010
In recent work nonlinear subdivision schemes which operate on manifold-valued data have been successfully analyzed with the aid of so-called proximity conditions bounding the diffe...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
MICCAI
2009
Springer
14 years 2 months ago
2009
Springer
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...