On discriminative semi-supervised incremental learning with a multi-view perspective for image concept modeling
This dissertation presents the development of a semi-supervised incremental learning framework with a multi-view perspective for image concept modeling. For reliable image concept characterization, having a large number of labeled images is crucial. However, the size of the training set is often lim...
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Georgia Institute of Technology
2012
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| Online Access: | http://hdl.handle.net/1853/43597 |