Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

Face image quality can be defined as a measure of the utility of a face image to automatic
face recognition. In this paper, we propose (and compare) two methods for learning face …

Android is a growing target for malicious software (malware) because of its popularity and
functionality. Malware poses a serious threat to users' privacy, money, equipment and file …

Unmanned Aerial Vehicles (UAVs) or drones are often used to reach remote areas or
regions which are inaccessible to humans. Equipped with a large field of view, compact size …

A face image not only provides details about the identity of a subject but also reveals several
attributes such as gender, race, sexual orientation, and age. Advancements in machine …

Research in face recognition has seen tremendous growth over the past couple of decades.
Beginning from algorithms capable of performing recognition in constrained environments …

The trade of humans aimed at the intention of forced labor, sexual slavery, commercial
sexual slavery, or else others is termed human trafficking (HT). It happens inside a nation or …

Learning useful representations from original features is a key issue in classification tasks.
Stacked autoencoders (SAEs) are easy to understand and realize, and they are powerful …