Towards a sparse low-rank regression model for memorability prediction of images

Neurocomputing, pp. 357-368, 2018.

Cited by: 1|Bibtex|Views14|DOI:https://doi.org/10.1016/j.neucom.2018.09.052
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Other Links: dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Nowadays, it is inevitable to experience plenty of images in everyday life. Some of them are remembered for a long time while others are forgotten after only a glance. It has been proved that memorability is an intrinsically stable property of images which measures the degree to which images are remembered. Although some work have been co...More

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