101 search results - page 7 / 21 » Efficient Reductions for Imitation Learning |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We introduce a new technique that can reduce any
higher-order Markov random field with binary labels into
a first-order one that has the same minima as the original.
Moreover, w...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...