2440 search results - page 284 / 488 » Learn .MT: A New Approach to Incremental Learning |
266
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
173
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
177
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EWSN
2008
Springer
16 years 6 months ago
2008
Springer
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
208
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HUMO
2007
Springer
16 years 19 days ago
2007
Springer
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
148
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SAC
2003
ACM
15 years 11 months ago
2003
ACM
Survey coding is the task of assigning a symbolic code from a predefined set of such codes to the answer given in response to an open-ended question in a questionnaire (aka surve...