24 search results - page 4 / 5 » Image and Video Segmentation by Anisotropic Kernel Mean Shif... |
CGF
2010
13 years 2 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
TIP
2010
13 years 3 months ago
2010
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
ICANN
2009
Springer
13 years 10 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...