4366 search results - page 388 / 874 » Learning and Smoothed Analysis |
214
Voted
ICMLC
2010
Springer
15 years 6 months ago
2010
Springer
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
171
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IJON
2010
15 years 6 months ago
2010
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
219
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JMLR
2010
15 years 6 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
256
Voted
AAAI
2012
13 years 10 months ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
251
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...