4660 search results - page 212 / 932 » Learning from imperfect data |
159
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ECCV
2008
Springer
16 years 6 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
120
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KDD
2004
ACM
16 years 5 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
125
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TMI
2008
15 years 4 months ago
2008
Automated computer classification (ACC) techniques are needed to facilitate physician's diagnosis of complex diseases in individual patients. We provide an example of ACC usin...
166
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RECOMB
2001
Springer
16 years 5 months ago
2001
Springer
The recent growth in genomic data and measurements of genome-wide expression patterns allows us to apply computational tools to examine gene regulation by transcription factors. I...
147
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TNN
2008
15 years 4 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...