scholarly journals Towards facial recognition using likelihood ratio approach to facial landmark indices from images

Author(s):  
Rajesh Verma ◽  
Navdha Bhardwaj ◽  
Arnav Bhavsar ◽  
Kewal Krishan
2018 ◽  
Vol 410 (13) ◽  
pp. 3073-3091 ◽  
Author(s):  
Agnieszka Martyna ◽  
Hans-Eike Gäbler ◽  
Andreas Bahr ◽  
Grzegorz Zadora

2017 ◽  
Vol 57 (3) ◽  
pp. 181-192 ◽  
Author(s):  
Andrew van Es ◽  
Wim Wiarda ◽  
Maarten Hordijk ◽  
Ivo Alberink ◽  
Peter Vergeer

Author(s):  
R. G. Keats ◽  
Winifred Frost ◽  
Annette Dobson

AbstractThe likelihood ratio approach to the detection of small signals in the presence of noise is investigated in the case where the available data have been clipped. The statistic obtained is the ratio of orthant probabilities and appears intractable; accordingly an approximation to this statistic is developed by truncating an appropriate Taylor expansion. Approximations are obtained for the mean and variance of this modified statistic and compared with those obtained from computer simulations.


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