Twin support vector machine (TWSVM) and twin support vector regression (TSVR) are newly
emerging efficient machine learning techniques which offer promising solutions for …

Multi-view learning (MVL) is a rapidly evolving direction in the field of machine learning.
Despite the positive results, most algorithms that combine multi-view learning with twin …

Ramp-based twin support vector clustering (RampTWSVC) is a powerful clustering method,
which measures the within-cluster and between-cluster scatter by the bounded ramp …

Analyzing unlabeled data is of prime importance in machine learning. Creating groups and
identifying an underlying clustering principle is essential to many fields, such as biomedical …

For smart cities, video surveillance has been widely used for security and management
purposes. In video surveillance, a fundamental challenge is person identification (PID) …

Clustering is an unsupervised learning algorithm and it is widely used in machine learning.
Twin support vector clustering (TWSVC) is a new plane-based clustering algorithm, which …

Parking space occupation detection using deep learning frameworks has seen significant
advancements over the past few years. While these approaches effectively detect partial …