399 search results - page 20 / 80 » Robust Boosting for Learning from Few Examples |
WWW
2009
ACM
15 years 10 months ago
2009
ACM
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
IDA
2000
Springer
14 years 9 months ago
2000
Springer
Knowledge Discovery in Databases (KDD) has become a very attractive discipline both for research and industry within last few years. Its goal is to extract pieces of knowledge or `...
ML
2000
ACM
14 years 9 months ago
2000
ACM
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
101
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ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
102
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WEBI
2010
Springer
14 years 7 months ago
2010
Springer
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...