5860 search results - page 865 / 1172 » Learning and Domain Adaptation |
141
Voted
KES
2007
Springer
16 years 26 days ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
206
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ICMCS
2006
IEEE
16 years 23 days ago
2006
IEEE
We present a three-step post-processing method for increasing the precision of video shot labels in the domain of television news. First, we demonstrate that news shot sequences c...
164
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IJCNN
2006
IEEE
16 years 23 days ago
2006
IEEE
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...
177
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LCN
2006
IEEE
16 years 22 days ago
2006
IEEE
As sensor networks become denser and more widely deployed, the potential develops for interconnecting these networks to combine datasets, share technological solutions, and to con...
129
Voted
ICMCS
2005
IEEE
16 years 10 days ago
2005
IEEE
Traditionally artistic color concepts play an important role in the analysis of artworks, and provide valuable domain knowledge to guide the analysis and accurate retrieval of pai...