TY  - JOUR
T1  - KERNEL ELM BASED AGE ESTIMATION
AU  - Gürpınar, Furkan
AU  - Kaya, Heysem
AU  - Afshar, Sadaf
AU  - Dibeklioğlu, Hamdi
AU  - Salah, Albert
PY  - 2016
DA  - January
JF  - Journal of Naval Sciences and Engineering
JO  - JNSE
PB  - Millî Savunma Üniversitesi
WT  - DergiPark
SN  - 1304-2025
SP  - 1
EP  - 14
VL  - 11
IS  - 3
LA  - en
AB  - This paper presents a framework for estimating the apparent age of a subject from their face image. To learn the age estimation model, we used a set of visual descriptors and their feature-level fusion to obtain a single feature vector for apparent age. For model learning, we used regression with Extreme Learning Machines (ELM) with Gaussian (RBF) kernels. We tested the proposed system with k-fold cross-validation on the dataset provided by ChaLearn Looking at People 2015 - Apparent Age Estimation challenge. By combining visual descriptors from multiple grids, we obtained a Mean Absolute Error (MAE) of 5.20.
KW  - Age estimation
KW  - ELM
KW  - biometrics
UR  - https://dergipark.org.tr/en/pub/jnse/issue//123543
L1  - https://dergipark.org.tr/en/download/article-file/105380
ER  -