1547 search results - page 4 / 310 » Learning a Classification Model for Segmentation |
MM
2004
ACM
14 years 14 days ago
2004
ACM
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...
MICCAI
2005
Springer
14 years 8 months ago
2005
Springer
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
NIPS
2008
13 years 8 months ago
2008
One of the original goals of computer vision was to fully understand a natural scene. This requires solving several sub-problems simultaneously, including object detection, region...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...