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        TITLE = "Joint Hypergraph Learning for Tag-Based Image Retrieval",
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        YEAR = "2018",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/applicat802.html#TT150913"}

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        TITLE = "Query-Adaptive Image Retrieval by Deep-Weighted Hashing",
        JOURNAL = MultMed,
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@article{bb155363,
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        TITLE = "SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval",
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        TITLE = "Discovering Latent Aspects for Diversity-Induced Image Retrieval",
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        TITLE = "From Social to Individuals: A Parsimonious Path of Multi-Level Models
for Crowdsourced Preference Aggregation",
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        TITLE = "Learning to Learn from Web Data Through Deep Semantic Embeddings",
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@inproceedings{bb155369,
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Ratio Maximization of the L1-Norm Distances",
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@inproceedings{bb155370,
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@inproceedings{bb155371,
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@inproceedings{bb155372,
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@inproceedings{bb155373,
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        TITLE = "Integrating web usage mining for an automatic learner profile
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@inproceedings{bb155376,
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image folksonomy",
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Last update:Nov 7, 2019 at 15:08:56