The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck Page 1
OBTAINING DATA HAS become the key bottleneck in many machine-learning (ML) applications …

Pupil dynamics can represent an indirect measure of perception; thus, it has been broadly
explored in the auditory and visual fields. Although it is crucial for experiencing the outside …

We address the use of selfie ocular images captured with smartphones to estimate age and
gender. Partial face occlusion has become an issue due to the mandatory use of face …

Soft biometric information, such as gender, iris, and voice, can be helpful in various
applications, such as security, authentication, and validation. Iris is secure biometrics with …

Automated gender prediction has drawn significant interest in numerous applications such
as surveillance, human–computer interaction, anonymous customised advertisement …

Predicting a person's gender based on the iris texture has been explored by several
researchers. This paper considers several dimensions of experimental work on this problem …

Palmprint gender classification can revolutionise the performance of authentication systems,
reduce searching space and speed up matching rate. However, to the best of their …

Gender classification from NIR iris image is a new topic with only a few papers published. All
previous work on gender-from-iris tried to find the best feature extraction techniques to …

Gender classification from periocular images is a challenging topic. Previous algorithms
have focused primarily on the use of texture features and not much research has been done …

Soft-Biometric information, such as gender, has great potential for applications in security,
forensics and marketing. Unfortunately, there are few gender-labelled databases available …