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- W2091372890 abstract "Automatic image annotation is an important function for online photo sharing service. The concurrence of labels is pretty common in multi-label annotation. In this paper, we propose a novel approach called latent-community and multi-kernel learning (LCMKL). The established graph of labels is regarded as a semantic network. Community detection method is introduced that treats the label set as communities. Multi-kernel learning SVM is adopted for specifying communities and settling difficulty of extracting semantically meaningful entities with some simple features. Experiments on NUS-WIDE database demonstrate that LCMKL outperforms other state-of-the-art approaches." @default.
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- W2091372890 date "2013-01-01" @default.
- W2091372890 modified "2023-09-23" @default.
- W2091372890 title "LCMKL" @default.
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- W2091372890 doi "https://doi.org/10.1145/2505515.2507821" @default.
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