The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …

The use of RGB-D information for salient object detection (SOD) has been extensively
explored in recent years. However, relatively few efforts have been put toward modeling …

Estimating count and density maps from crowd images has a wide range of applications
such as video surveillance, traffic monitoring, public safety and urban planning. In addition …

Structural damage detection has been an interdisciplinary area of interest for various
engineering fields. While the available damage detection methods have been in the process …

Most existing approaches address multi-view subspace clustering problem by constructing
the affinity matrix on each view separately and afterwards propose how to extend spectral …

Cloud Computing provides an effective platform for executing large-scale and complex
workflow applications with a pay-as-you-go model. Nevertheless, various challenges …

Of late, neural networks and Multiple Instance Learning (MIL) are both attractive topics in the
research areas related to Artificial Intelligence. Deep neural networks have achieved great …

In order to overcome the difficulty of password management and improve the usability of
authentication systems, biometric authentication has been widely studied and has attracted …

The energy consumption of major equipment in residential and industrial facilities can be
minimized through a variety of cost-effective energy-saving measures. Most saving …