@inproceedings{508192842792404c8bc136b05c2ab898,
title = "Destek vekt{\"o}r mak{\.i}nes{\.i} y{\"o}ntem{\.i} {\.i}le y{\"u}z g{\"u}zell{\.i}ǧ{\.i} karari",
abstract = "This paper presents an automated facial beauty recognition system based on Support Vector Machine (SVM). First, we constructed manually two classes of female faces with respect to their facial beauty, by requesting personal opinions of people. As the second step, Principal Components Analysis (PCA) is applied to each class for extracting principal components. Then Support Vector Machine (SVM) is used for judging whether a given face is beautiful or not. Judging the beauty of a face is a relative concept so the decision results of our system are compared with the results obtained by asking 50 different people to determine the success of our system. We figured out that the results of our system agreed 85% with the decisions of the people.",
author = "T{\"u}rkmen, {H. Irem} and Zeyneb Kurt and Karsligil, {M. Elif}",
year = "2006",
month = apr,
day = "17",
doi = "10.1109/SIU.2006.1659754",
language = "Turkish",
isbn = "9781424402397",
series = "2006 IEEE 14th Signal Processing and Communications Applications Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2006 IEEE 14th Signal Processing and Communications Applications Conference",
address = "United States",
note = "2006 IEEE 14th Signal Processing and Communications Applications ; Conference date: 17-04-2006 Through 19-04-2006",
}