468 search results - page 15 / 94 » Riemannian Manifold Learning |
JMLR
2010
14 years 4 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
15 years 11 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 ...
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Voted
SIAMMA
2010
14 years 4 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
14 years 6 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
15 years 4 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...