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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.108
Abstract: Generative model based image annotation methods have achieved good annotation performance. However, due to the problem of semantic gap, these methods always suffer from the images with similar visual features but different semantics. It seems…
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Keywords:
image;
image annotation;
annotation;
discriminant models ... See more keywords