With the rapid advances in digital imaging and communication technologies, recently image
set classification has attracted significant attention and has been widely used in many real …

Identification of emotion hidden in limited text is an active research problem. This work
presents a framework for the same using email text. The present work is based on machine …

With the development of vision technology, image set classification (ISC) has flourished in
the image processing field. Different from the one-shot image classification, ISC focuses on …

Abstract Evaluation of earthquake-induced liquefaction potential is crucial in the design
phase of construction projects. Although several machine learning models achieve good …

Collaborative representation-based (CR) methods have become prevalent for pattern
classification tasks, achieving formidable performance. Theoretically, we expect the learned …

Collaborative representation-based classification (CRC), as a typical kind of linear
representation-based classification, has attracted more attention due to the effective and …

Image set classification, which compares the similarity between image sets with variable
quantity, quality and unordered heterogeneous images, has drawn increased research …

This article explores operational challenges in mining, with a focus on energy management
amid depleting ore grades and rising costs. The urgent need for innovative energy …

Nowadays, Intrusion Detection System (IDS) is an active research topic with machine
learning nature. A single-hidden layer feedforward neural network (SLFN) trained on the …

The increasing use of multiple sensors, which produce a large amount of multi-dimensional
data, requires efficient representation and classification methods. In this paper, we present a …