Lie group machine learning is recognized as the theoretical basis of brain intelligence, brain
learning, higher machine learning, and higher artificial intelligence. Sample sets of Lie …

Context: Soft biometrics is a field that aids traditional biometrics through attribute
identification using descriptors such as hair type, ethnicity, or gender. When employed to …

In 3D face analysis research, automated classification to recognize gender and ethnicity has
received an increasing amount of attention in recent years. Feature extraction and feature …

Among different recent technologies proposed for human face classification and recognition,
solutions based on analyzing the 3D geometric facial features emerged as a promising …

Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make
predictions. Deep learning mimics the human brain and provides learned solutions …

In the study of ethnical group recognition, facial feature discovery is one of the essential
tasks. Specially, with the recent development of deep learning methods, significant evolution …

The nose is the most central feature on the face which is known to exhibit both gender and
ethnic differences. It is a robust feature, invariant to expression and known to contain depth …

Face explicitly provides the direct and quick way to evaluate human soft biometric
information such as race, age and gender. Race is a group of human beings who differ from …

Biometric recognition applications have been frequently used nowadays mostly because of
reliability and ease of use for automated detection. There are many applications based on …

Gender classification is a demographic attribute that found an increasing amount of
applications particularly in human-computer interaction, security access control and …