1547 search results - page 61 / 310 » Learning a Classification Model for Segmentation |
134
Voted
ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
140
Voted
ICIP
2010
IEEE
15 years 4 days ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
149
Voted
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
138
Voted
ICIAR
2010
Springer
14 years 11 months ago
2010
Springer
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
118
Voted
ISBI
2008
IEEE
16 years 2 months ago
2008
IEEE
We propose a method for recursive segmentation of the left ventricle (LV) across a temporal sequence of magnetic resonance (MR) images. The approach involves a technique for learn...