1553 search results - page 212 / 311 » Learning from Multiple Sources of Inaccurate Data |
171
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ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
147
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IJAR
2007
15 years 3 months ago
2007
When integrating data coming from multiple different sources we are faced with the possibility of inconsistency in databases. A paraconsistent approach for knowledge base integra...
188
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TCSV
2011
14 years 10 months ago
2011
—As it is true for human perception that we gather information from different sources in natural and multi-modality forms, learning from multi-modalities has become an effective ...
137
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BMCBI
2007
15 years 3 months ago
2007
Background: Genomic deletions and duplications are important in the pathogenesis of diseases, such as cancer and mental retardation, and have recently been shown to occur frequent...
170
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ACCV
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...