232 search results - page 10 / 47 » Learning large margin classifiers locally and globally |
159
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ICPR
2008
IEEE
15 years 12 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
158
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GECCO
2007
Springer
15 years 9 months ago
2007
Springer
In this study we deal with the mixing problem, which concerns combining the prediction of independently trained local models to form a global prediction. We deal with it from the ...
217
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CVPR
2009
IEEE
17 years 24 days ago
2009
IEEE
We present a discriminative Hough transform based ob-
ject detector where each local part casts a weighted vote for
the possible locations of the object center. We show that the
...
172
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CVPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
148
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AUSAI
2005
Springer
15 years 11 months ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...