924 search results - page 23 / 185 » Meta-Evaluation of Image Segmentation Using Machine Learning |
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
A mainstay in cancer diagnostics is the classification or grading of cell nuclei based on their appearance. While the analysis of cytological samples has been automated successful...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
TNN
2010
13 years 2 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...