Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …

The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers,
yet its performance competes with the most complex classifiers in the literature. The core of …

The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers,
yet its performance competes with the most complex classifiers in the literature. The core of …

Machine learning (ML) is the field of training machines to achieve high level of cognition and
perform human-like analysis. Since ML is a data-driven approach, it seemingly fits into our …

Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

Shot detection is widely used in video semantic analysis, video scene segmentation, and
video retrieval. However, this is still a challenging task, due to the weak boundary and a …

With the rapid growth in the amount of video data, efficient video indexing and retrieval
methods have become one of the most critical challenges in multimedia management. For …

The proliferation of multimedia devices over the Internet of Things (IoT) generates an
unprecedented amount of data. Consequently, the world has stepped into the era of big …

There has been an unrestrained growth of videos on the Internet due to proliferation of
multimedia devices. These videos are mostly stored in unstructured repositories which pose …

The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers,
yet its performance competes with the most complex classifiers in the literature. The core of …