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

doi:10.1007/s11042-017-5037-7

	Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation
	Pang, Junbiao 1; Huang, Jing 1; Zhang, Weigang 2,3; Huang, Qingming 3,4; Yin, Baocai 1,4
	2017-12-01
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
卷号	76 期号:23 页码:25145-25157
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.
关键词	Unsupervised ranking Poisson noise Gaussian noise Similarity Diffusion Process Deconvolution
DOI	10.1007/s11042-017-5037-7
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000416548300032
出版者	SPRINGER
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/6394
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.Univ Chinese Acad Sci, Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 4.Dalian Univ Technol, Dalian 116024, 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.