Visual concept detection of web images based on group sparse ensemble learning
Due to the huge intra-class variations for visual concept detection, it is necessary for concept learning to collect large scale training data to cover a wide variety of samples as much as possible. But it presents great challenges on both how to collect and how to train the large scale data. In thi...
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Veröffentlicht in: | Multimedia tools and applications 2016-02, Vol.75 (3), p.1409-1425 |
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