Sciweavers

1297 search results - page 8 / 260
» Covariant Derivatives and Vision
Sort
View
ICML
2008
IEEE
14 years 9 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach
ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
14 years 1 months ago
Maximally Informative Statistics for Localization and Mapping
This paper presents an algorithm for simultaneous localization and mapping for a mobile robot using monocular vision and odometry. The approach uses Variable State Dimension Filte...
Matthew Deans
ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
14 years 1 months ago
Trajectory generation for constant velocity target motion estimation using monocular vision
- The performance of monocular vision based target tracking is a strong function of camera motion. Without motion, the target estimation problem is unsolvable. By designing the cam...
Eric W. Frew, Stephen M. Rock
NIPS
2003
13 years 9 months ago
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA
We derive the limiting form of the eigenvalue spectrum for sample covariance matrices produced from non-isotropic data. For the analysis of standard PCA we study the case where th...
David C. Hoyle, Magnus Rattray
TSP
2010
13 years 3 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero