168 search results - page 2 / 34 » Parametrization of Linear Systems Using Diffusion Kernels |
IJCV
1998
13 years 4 months ago
1998
Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructe...
BMCBI
2008
13 years 4 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
ICVGIP
2004
13 years 6 months ago
2004
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
ISBI
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
IJCV
2007
13 years 4 months ago
2007
We derive a family of kernels on dynamical systems by applying the Binet-Cauchy theorem to trajectories of states. Our derivation provides a unifying framework for all kernels on d...