An Efficient Facial Annotation with Machine Learning Approach

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-22 Number-3
Year of Publication : 2015
Authors : A.Anusha, R.Srinivas
  10.14445/22312803/IJCTT-V22P122

MLA

A.Anusha, R.Srinivas "An Efficient Facial Annotation with Machine Learning Approach". International Journal of Computer Trends and Technology (IJCTT) V22(3):107-111, April 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
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.

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Keywords
We propose an unsupervised label refinement method for achieving the labels ofweb facial images using machine learning techniques.