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171
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NIPS
2004
15 years 6 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
150
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JITECH
2010
15 years 3 months ago
2010
This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, the...
194
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ICCSA
2007
Springer
15 years 9 months ago
2007
Springer
This article presents a contribution to the visual tracking of objects using all the degrees of freedom of an Aibo ERS-7 robot. We approach this issue in a principled way applying ...
171
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JMLR
2010
14 years 11 months ago
2010
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
136
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JMLR
2010
14 years 11 months ago
2010
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...