1601 search results - page 28 / 321 » Closed Sets for Labeled Data |
JDWM
2007
14 years 11 months ago
2007
Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene cla...
115
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BMCBI
2010
14 years 9 months ago
2010
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
102
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
259
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PAMI
2010
14 years 10 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
SSPR
2004
Springer
15 years 5 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...