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文章基本信息

  • 标题:An Efficient Facial Annotation with Machine Learning Approach
  • 本地全文:下载
  • 作者:A.Anusha ; R.Srinivas
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2015
  • 卷号:22
  • 期号:3
  • 页码:107-111
  • DOI:10.14445/22312803/IJCTT-V22P122
  • 出版社:Seventh Sense Research Group
  • 摘要:In machine learning process facial annotation methods are very favorable. One of the main problem for searchbased face annotation scheme is how toannotation by exploring the most of same facial images and their weak labels that are incomplete. We propose an unsupervised label refinement method for achieving the labels ofweb facial images using machine learning techniques.
  • 关键词:We propose an unsupervisedlabel refinement method for achieving the labels ofwebfacial images using machine learning techniques.
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