247 search results - page 8 / 50 » Superset Learning Based on Generalized Loss Minimization |
ECCV
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
ECCV
2008
Springer
15 years 12 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...
ECIR
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
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MICCAI
2008
Springer
15 years 4 months ago
2008
Springer
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...