68 search results - page 10 / 14 » Gaussian Convolutions. Numerical Approximations Based on Int... |
72
Voted
SCALESPACE
2007
Springer
15 years 3 months ago
2007
Springer
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...
89
Voted
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
101
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CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
MOC
2010
14 years 4 months ago
2010
In this paper, a Jacobi-collocation spectral method is developed for Volterra integral equations of the second kind with a weakly singular kernel. We use some function transformati...