6715 search results - page 485 / 1343 » Learning from a Test Set |
206
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CVPR
2008
IEEE
16 years 9 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
258
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SAGA
2009
Springer
16 years 1 months ago
2009
Springer
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
199
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PAKDD
2005
ACM
16 years 13 days ago
2005
ACM
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
181
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SDM
2008
SIAM
15 years 8 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
198
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...