1516 search results - page 101 / 304 » On the Learnability of Vector Spaces |
CVPR
2004
IEEE
15 years 12 months ago
2004
IEEE
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
MICCAI
2005
Springer
15 years 10 months ago
2005
Springer
We present a novel method for finding white matter fiber correspondences and clusters across a population of brains. Our input is a collection of paths from tractography in every b...
ESANN
2003
14 years 11 months ago
2003
In this paper a special higher order neuron, the hypersphere neuron, is introduced. By embedding Euclidean space in a conformal space, hyperspheres can be expressed as vectors. The...
CORR
2000
Springer
14 years 9 months ago
2000
Springer
This paper initiates the use of vector fields to design, optimize, and implement reactive schedules for safe cooperative robot patterns on planar graphs. We consider Automated Gui...
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...