2208 search results - page 81 / 442 » Privacy-Preserving Classifier Learning |
134
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
In this paper we present an adaptive but robust object
detector for static cameras by introducing classifier grids.
Instead of using a sliding window for object detection we
pro...
122
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
113
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ESANN
2008
15 years 4 months ago
2008
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
104
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
136
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TSE
2008
15 years 3 months ago
2008
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...