194 search results - page 13 / 39 » Subspace Regularization: A New Semi-supervised Learning Meth... |
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
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ICMLA
2004
15 years 1 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
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DEXA
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. In this paper, we study the problem of projected outlier detection in high dimensional data streams and propose a new technique, called Stream Projected Ouliter deTector ...
TCSV
2008
14 years 11 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
MLDM
2005
Springer
15 years 5 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...