CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Multi-modal max-margin supervised topic model for social event analysis
Xue, Feng1; Wang, Jianwei1; Qian, Shengsheng2; Zhang, Tianzhu2; Liu, Xueliang1; Xu, Changsheng1,2
Source PublicationMultimedia Tools and Applications
2018
Issue99Pages:1–20
AbstractIn this paper, we proposed a novel multi-modal max-margin supervised topic model (MMSTM) for social event analysis by jointly learning the representation together with the classifier in a unified framework. Compared with existing methods, the proposed MMSTM model has several advantages. (1) The proposed model can utilize the classifier as the regularization term of our model to jointly learn the parameters in the generative model and max-margin classifier, and use the Gibbs sampling to learn parameters of the representation model and max-margin classifier by minimizing the expected loss function. (2) The proposed model is able to not only effectively mine the multi-modal property by jointly learning the latent topic relevance among multiple modalities for social event representation, but also exploit the supervised information by considering a discriminative max-margin classifier for event classification to boost the classification performance. (3) In order to validate the effectiveness of the proposed model, we collect a large-scale real-world dataset for social event analysis, and both qualitative and quantitative evaluation results have demonstrated the effectiveness of the proposed MMSTM.
KeywordSocial Event Classification Multi-modal Max-margin Social Media Topic Model
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20465
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Hefei University of Technology, Hefei, China
2.National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Xue, Feng,Wang, Jianwei,Qian, Shengsheng,et al. Multi-modal max-margin supervised topic model for social event analysis[J]. Multimedia Tools and Applications,2018(99):1–20.
APA Xue, Feng,Wang, Jianwei,Qian, Shengsheng,Zhang, Tianzhu,Liu, Xueliang,&Xu, Changsheng.(2018).Multi-modal max-margin supervised topic model for social event analysis.Multimedia Tools and Applications(99),1–20.
MLA Xue, Feng,et al."Multi-modal max-margin supervised topic model for social event analysis".Multimedia Tools and Applications .99(2018):1–20.
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