Class imbalance is an active research area in the machine learning community. However,
existing and recent literature showed that class overlap had a higher negative impact on the …

Accelerators are special purpose processors designed to speed up compute-intensive
sections of applications. Two extreme endpoints in the spectrum of possible accelerators are …

Learning a good distance metric plays a vital role in many multimedia retrieval and data
mining tasks. For example, a typical content-based image retrieval (CBIR) system often …

With many potential multimedia applications, content-based image retrieval (CBIR) has
recently gained more attention for image management and Web search. A wide variety of …

Network traffic data basically comprise a major amount of normal traffic data and a minor
amount of attack data. Such an imbalance problem in the amounts of the two types of data …

We are living in an Age of Information where the amount of accessible data from science
and culture is almost limitless. However, this also means that finding an item of interest is …

Relevance feedback has emerged as a powerful tool to boost the retrieval performance in
content-based image retrieval (CBIR). In the past, most research efforts in this field have …

Image classification is vital field of research in computer vision. Increasing rate of multimedia
data, remote sensing and web photo gallery need a category of different image for the …

With many potential practical applications, content-based image retrieval (CBIR) has
attracted substantial attention during the past few years. A variety of relevance feedback …

Recently, relevance feedback (RF) in content-based image retrieval (CBIR) has been
implemented as an online binary classifier to separate the positive samples from the …