477 search results - page 38 / 96 » Clustering Complex Data with Group-Dependent Feature Selecti... |
PAMI
2007
14 years 11 months ago
2007
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
128
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BMCBI
2010
14 years 12 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
112
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BMCBI
2011
14 years 3 months ago
2011
Background: Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its c...
EDBT
2006
ACM
15 years 12 months ago
2006
ACM
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...