203 search results - page 5 / 41 » Diffusion on Statistical Manifolds |
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...
ASUNAM
2009
IEEE
15 years 4 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
15 years 11 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
15 years 11 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
14 years 9 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...