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CIKM
2008
Springer
15 years 1 months ago
2008
Springer
In automated text categorization, given a small number of labeled documents, it is very challenging, if not impossible, to build a reliable classifier that is able to achieve high...
KDD
2001
ACM
16 years 7 days ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
ICML
2004
IEEE
16 years 19 days ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
SAC
2005
ACM
15 years 5 months ago
2005
ACM
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
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CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
In matching tasks in computer vision, and particularly in real-time tracking from video, there are generally strong priors available on absolute and relative correspondence locati...