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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5703-4
Abstract: We address the problem of fine-grained image recognition using user click data, wherein each image is represented as a semantical query-click feature vector. Usually, the query set obtained from search engines is large-scale and redundant,…
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Keywords:
query;
sparse coding;
click feature;
click data ... See more keywords
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recommendations!
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Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2921861
Abstract: The click feature of an image, defined as a user click count vector based on click data, has been demonstrated to be effective for reducing the semantic gap for image recognition. Unfortunately, most of the…
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Keywords:
recognition;
image;
image recognition;
click feature ... See more keywords