Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction
problems as a preprocessing step for machine learning and pattern classification …

Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Bilinear models provide an appealing framework for mixing and merging information in
Visual Question Answering (VQA) tasks. They help to learn high level associations between …

Face recognition is one of the most common biometric authentication methods as its
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …

Cameras are becoming ubiquitous in the Internet of Things (IoT) and can use face
recognition technology to improve context. There is a large accuracy gap between today's …

We present a novel deep-learning-based approach for one-class transfer learning in which
labeled data from an unrelated task is used for feature learning in one-class classification …

Abstract The Artificial Intelligence Internet of Things (AIoT) is an emerging concept aiming to
perceive, understand and connect the 'intelligent things' to make the intercommunication of …

This paper describes the world's largest gait database with wide view variation, the “OU-ISIR
gait database, multi-view large population dataset (OU-MVLP)”, and its application to a …

Abstract Machine learning belongs to the crossroad of cybernetics (control science) and
computer science. It is attracting recently an overwhelming interest, both of professionals …

Heterogeneous Information Network (HIN) is a natural and general representation of data in
modern large commercial recommender systems which involve heterogeneous types of …