@inproceedings{d33cde28e03f4ed1acd1a3adeba18ad1,
title = "LCMKL: Latent-community and multi-kernel learning based image annotation",
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.",
keywords = "Community detection, Image annotation, Multiple kernel learning",
author = "Qing Li and Yun Gu and Xueming Qian",
year = "2013",
doi = "10.1145/2505515.2507821",
language = "英语",
isbn = "9781450322638",
series = "International Conference on Information and Knowledge Management, Proceedings",
pages = "1469--1472",
booktitle = "CIKM 2013 - Proceedings of the 22nd ACM International Conference on Information and Knowledge Management",
note = "22nd ACM International Conference on Information and Knowledge Management, CIKM 2013 ; Conference date: 27-10-2013 Through 01-11-2013",
}