203 search results - page 5 / 41 » Diffusion on Statistical Manifolds |
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...
ASUNAM
2009
IEEE
14 years 2 months ago
2009
IEEE
—We study information diffusion in real-life and synthetic dynamic networks, using well known threshold and cascade models of diffusion. Our test-bed is the communication network...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...
JMLR
2008
13 years 7 months ago
2008
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...