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Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation

文献类型：期刊论文

作者Pang, Junbiao1; Huang, Jing1; Zhang, Weigang3,4; Huang, Qingming2,3; Yin, Baocai1,2
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期2017-12-01
卷号76期号:23页码:25145-25157
关键词Unsupervised ranking Poisson noise Gaussian noise Similarity Diffusion Process Deconvolution
ISSN号1380-7501
DOI10.1007/s11042-017-5037-7
英文摘要Recently top performing cross-media topic detection employs Similarity Diffusion Process (SDP) to rank the interestingness of topics from a large number of candidates. SDP models the polysemous phenomenon from short and less-constrained user-generated data by assuming the similarities between two multi-media data should be divided into intersected topics. The noise in SDP plays an important role to explain the generation of the similarity. However, it is unclear what kind of noise is more appropriate for different modalities in cross media: SDP under different noises should has the lower false positives when topics are successfully detected. In this paper, we provide an in depth analysis of two types of noises (Poisson and Gaussian) for this task. In the evaluation, we observe that the combination of Poisson noise and topic sizes performs best while Gaussian noise has a faster optimization speed than that of Poisson one.
资助项目Natural Science Foundation of China[61672069] ; Natural Science Foundation of China[61332016] ; Natural Science Foundation of China[61620106009] ; Natural Science Foundation of China[61472387] ; Natural Science Foundation of China[U1636214] ; Natural Science Foundation of China[61650202] ; Key Research Program of Frontier Sciences[CAS: QYZDJ-SSW-SYS013] ; China Postdoctoral Science Foundation ; Beijing Post-Doctoral Research Foundation ; Beijing Municipal Commission of Education[KM201610005034] ; Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality (PHR)
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000416548300032
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/6393]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Pang, Junbiao
作者单位1.Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100124, Peoples R China
2.Dalian Univ Technol, Dalian 116024, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Pang, Junbiao,Huang, Jing,Zhang, Weigang,et al. Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017,76(23):25145-25157.
APA Pang, Junbiao,Huang, Jing,Zhang, Weigang,Huang, Qingming,&Yin, Baocai.(2017).Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation.MULTIMEDIA TOOLS AND APPLICATIONS,76(23),25145-25157.
MLA Pang, Junbiao,et al."Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation".MULTIMEDIA TOOLS AND APPLICATIONS 76.23(2017):25145-25157.

入库方式： OAI收割

来源：计算技术研究所

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