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  • 标题:An Extension of the Student's t-distribution Mixture Model and the Gradient Descent method
  • 本地全文:下载
  • 作者:Xiong, Taisong ; Gou, Jianping ; Rao, Yunbo
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2013
  • 卷号:8
  • 期号:7
  • 页码:1750-1757
  • DOI:10.4304/jcp.8.7.1750-1757
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:A new Student's t-distribution finite mixture model is proposedwhich incorporates the local spatial information of the pixels.The pixels' label probability proportions are explicitly modelledas probability vectors in the proposed model. We use the gradientdescend method to estimate the parameters of the proposed model.Comprehensive experiments are performed for synthetic and naturalgrayscale images. The experimental results demonstrate that thesuperiority of the proposed model over some other models.
  • 关键词:Spatially variant finite mixture model;Student's t-distribution;Image segmentation;Gradient descent
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