1601 search results - page 28 / 321 » Closed Sets for Labeled Data |
JDWM
2007
13 years 10 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...
BMCBI
2010
13 years 8 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...
ICASSP
2010
IEEE
13 years 10 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...
PAMI
2010
13 years 9 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
14 years 4 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...