139 search results - page 13 / 28 » Sample Spaces and Feature Models: There and Back Again |
84
Voted
ICDAR
2003
IEEE
15 years 5 months ago
2003
IEEE
In style-constrained classification often there are only a few samples of each style and class, and the correspondences between styles in the training set and the test set are un...
103
Voted
KDD
2007
ACM
16 years 26 days ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
121
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
130
Voted
JMLR
2012
13 years 2 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
232
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ICDE
2009
IEEE
16 years 2 months ago
2009
IEEE
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...