161 search results - page 22 / 33 » Image Classification using Random Forests and Ferns |
123
Voted
IEEEIAS
2008
IEEE
15 years 6 months ago
2008
IEEE
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
ICMLA
2008
15 years 1 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
107
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BMVC
2010
14 years 9 months ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
90
Voted
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
157
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...