55 search results - page 9 / 11 » Maximum Likelihood Estimation of Gaussian Mixture Models Usi... |
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
ICVGIP
2004
13 years 8 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
CVPR
2004
IEEE
13 years 11 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we present a new evaluation approach for missing data techniques (MDTs) where the efficiency of those are investigated using listwise deletion method as reference....
VLSISP
1998
13 years 7 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...