137 search results - page 17 / 28 » New Regularized Algorithms for Transductive Learning |
153
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
ICPR
2008
IEEE
16 years 25 days ago
2008
IEEE
The classification performance of nearest prototype classifiers largely relies on the prototype learning algorithms, such as the learning vector quantization (LVQ) and the minimum...
125
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
UAI
2008
15 years 1 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
SIGIR
2006
ACM
15 years 5 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...