180 search results - page 20 / 36 » Relational Graph Labelling Using Learning Techniques and Mar... |
173
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
The automatic extraction and labeling of the rib centerlines is a useful yet challenging task in many clinical applications. In this paper, we propose a new approach integrating r...
118
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
146
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CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
117
Voted
ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
165
Voted
FOIKS
2008
Springer
15 years 11 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...