12 search results - page 2 / 3 » Nonrigid Shape Recovery by Gaussian Process Regression |
ICIP
2001
IEEE
14 years 7 months ago
2001
IEEE
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
NIPS
2008
13 years 7 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
IROS
2008
IEEE
14 years 19 days ago
2008
IEEE
—The increased popularity of wireless networks has enabled the development of localization techniques that rely on WiFi signal strength. These systems are cheap, effective, and r...
CVPR
2011
IEEE
12 years 10 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...