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题名Nonparametric variational learning of multivariate beta mixture models in medical applications
作者
发表日期2021-03-01
发表期刊International Journal of Imaging Systems and Technology
ISSN/eISSN0899-9457
卷号31期号:1页码:128-140
摘要

Clustering as an essential technique has matured into a capable solution to address the gap between the growing availability of data and deriving the knowledge from them. In this paper, we propose a novel clustering method “variational learning of infinite multivariate Beta mixture models.” The motivation behind proposing this technique is the flexibility of mixture models to fit the data. This approach has the capability to infer the model complexity and estimate model parameters from the observed data automatically. Moreover, as a label-free method, it could also address the problem of high costs of medical data labeling, which can be undertaken just by medical experts. The performance of the model is evaluated on real medical applications and compared with other similar alternatives. We demonstrate the ability of our proposed method to outperform widely used methods in the field as it has been shown in experimental results.

关键词batch variational learning Dirichlet process mixtures medical applications mixture models multivariate beta distributions online variational learning
DOI10.1002/ima.22506
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收录类别SCIE
语种英语English
WOS研究方向Engineering ; Optics ; Imaging Science & Photographic Technology
WOS类目Engineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology
WOS记录号WOS:000580540900001
Scopus入藏号2-s2.0-85092748303
引用统计
被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/13034
专题个人在本单位外知识产出
理工科技学院
通讯作者Manouchehri, Narges
作者单位
1.Concordia Institute for Information Systems Engineering,Concordia University,Montreal,Canada
2.Department of Computer Science and Technology,Huaqiao University,Xiamen,China
推荐引用方式
GB/T 7714
Manouchehri, Narges,Bouguila, Nizar,Fan, Wentao. Nonparametric variational learning of multivariate beta mixture models in medical applications[J]. International Journal of Imaging Systems and Technology, 2021, 31(1): 128-140.
APA Manouchehri, Narges, Bouguila, Nizar, & Fan, Wentao. (2021). Nonparametric variational learning of multivariate beta mixture models in medical applications. International Journal of Imaging Systems and Technology, 31(1), 128-140.
MLA Manouchehri, Narges,et al."Nonparametric variational learning of multivariate beta mixture models in medical applications". International Journal of Imaging Systems and Technology 31.1(2021): 128-140.
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