Video indexing and retrieval have a wide spectrum of promising applications, motivating the
interest of researchers worldwide. This paper offers a tutorial and an overview of the …

Video-based surveillance systems have a wide range of applications for traffic monitoring,
as they provide more information as compared to other sensors. In this paper, we present a …

We present a hybrid algorithm called parallel simulated annealing with a greedy algorithm
(PSAGA) to learn Bayesian network structures. This work focuses on simulated annealing …

This paper explores the effectiveness of Particle Swarm Classification (PSC) for a
classification task in the field of educational data mining. More specifically, it proposes PSC …

Due to the large volume of protein sequence data, computational methods to determine the
structure class and the fold class of a protein sequence have become essential. Several …

The last two decades have resulted in a substantial progress in the multimedia and storage
technology that has led to building of a large repository of digital image, video, and audio …

There are many different types of sports training films, and categorizing them can be difficult.
As a result, this research introduces an autonomous video content classification system that …

The incidents of credit card fraud are increasing year by year. This guided scientists to keep
investigating techniques that can be used to detect credit card fraud. This report is related to …

Abstract Electronic Program Guides (EPGs) are systems that allow users of media
applications, such as web TVs, to navigate scheduling information about current and …

A Bayesian network is a probabilistic representation of the multiple cause-effect dependency
relationships in a domain. It incorporates human reasoning to deal with sparse data …