299 search results - page 38 / 60 » Multiple kernel learning and feature space denoising |
135
Voted
ICVGIP
2008
15 years 5 months ago
2008
We investigate to what extent combinations of features can improve classification performance on a large dataset of similar classes. To this end we introduce a 103 class flower da...
149
Voted
COLT
1999
Springer
15 years 7 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
166
Voted
EMNLP
2008
15 years 5 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
143
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
132
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MINENET
2006
ACM
15 years 9 months ago
2006
ACM
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...