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    Harvesting image databases from the Web by Schroff, F, Criminisi, A, Zisserman, A

    Published 2007
    “…Second, the top-ranked images are used as (noisy) training data and a SVM visual classifier is learnt to improve the ranking further. The principal novelty is in combining text/meta-data and visual features in order to achieve a completely automatic ranking of the images. …”
    Conference item