374 search results - page 36 / 75 » Robust kernel density estimation |
229
click to vote
CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
Motion blur due to camera shake is a annoying problem in low-light photography. In this paper, we propose a novel method to recover a sharp image from a pair of motion blurred and ...
183
click to vote
CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
170
click to vote
IROS
2006
IEEE
15 years 12 months ago
2006
IEEE
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
162
click to vote
NIPS
2008
15 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...
154
click to vote
PAMI
2007
15 years 5 months ago
2007
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...