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PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
AAAI
2011
13 years 9 months ago
2011
Applications that adapt to a particular end user often make inaccurate predictions during the early stages when training data is limited. Although an end user can improve the lear...
WSOM
2009
Springer
15 years 4 months ago
2009
Springer
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
IJCAI
2003
14 years 11 months ago
2003
Information extraction (IE) aims at extracting specific information from a collection of documents. A lot of previous work on 10 from semi-structured documents (in XML or HTML) us...