924 search results - page 30 / 185 » Meta-Evaluation of Image Segmentation Using Machine Learning |
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
IJON
2011
13 years 2 months ago
2011
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
ISBI
2006
IEEE
14 years 8 months ago
2006
IEEE
This paper presents a fully automatic white matter lesion (WML) segmentation method, based on local features determined by combining multiple MR acquisition protocols, including T...
ICDAR
2003
IEEE
14 years 25 days ago
2003
IEEE
This article describes a new segmentation by thresholding approach based on learning. The method consists in learning to threshold correctly submitting both an image and its ideal...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; howe...