399 search results - page 53 / 80 » Robust Boosting for Learning from Few Examples |
SIGGRAPH
2009
ACM
15 years 4 months ago
2009
ACM
Over the past few decades, the arts have become increasingly dependent on and influenced by the development of computer technology. In the 1960s pioneering artists experimented w...
TIT
2008
14 years 9 months ago
2008
In the past few years, a certain number of authors have proposed analysis methods of the time series built from a long range dependence noise. One of these methods is the Detrended...
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ML
2000
ACM
14 years 9 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
ML
2007
ACM
14 years 9 months ago
2007
ACM
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...