Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …

Deep learning has become an area of interest to the researchers in the past few years.
Convolutional Neural Network (CNN) is a deep learning approach that is widely used for …

Blind image quality assessment (BIQA) aims to predict perceptual image quality scores
without access to reference images. State-of-the-art BIQA methods typically require subjects …

The extreme learning machine (ELM) has attracted increasing attention recently with its
successful applications in classification and regression. In this paper, we investigate the …

The alternating direction method of multipliers (ADMM) algorithm has been widely employed
for distributed machine learning tasks. However, it suffers from several limitations, eg, a …

In the complex marine environment, traditional detectors based on the classifiers cannot
guarantee the global false alarm control. In this article, we propose a detector based on dual …

Image analysis using the Artificial Intelligence (AI) is now in trend. There are a lot of data in
the image format. Using image analysis many useful information can be extracted. In this …

A novel image patch based example-based super-resolution algorithm is proposed for
benefitting from social image data. The proposed algorithm is designed based on matrix …

Graph-based ranking has been extensively studied and frequently applied in many
applications, such as webpage ranking. It aims at mining potentially valuable information …

Kernel canonical correlation analysis (CCA) is a powerful statistical tool characterizing
nonlinear relations between two sets of multidimensional variables. It has been widely used …