Social recommender systems (SocialRS) simultaneously leverage the user-to-item
interactions as well as the user-to-user social relations for the task of generating item …

With the widespread popularization of social network platforms, user-generated content and
other social network data are growing rapidly. It is difficult for social users to select interested …

Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …

Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …

In recent years, there has been a growing interest in develo** next point-of-interest (POI)
recommendation systems in both industry and academia. However, current POI …

Crowd counting in congested scenarios is an essential yet challenging task in detecting
abnormal crowd for contemporary urban planning. The counting accuracy has been …

Pruning is a useful technique for decreasing the memory consumption and floating point
operations (FLOPs) of deep convolutional neural network (CNN) models. Nevertheless, at …

With the increasing popularity of online social networks, more and more people are posting
information, updating their statuses, and searching for topics there. Massive cross-media big …

Accurate fire identification can help to control fires. Traditional fire detection methods are
mainly based on temperature or smoke detectors. These detectors are susceptible to …

Garbage image classification often suffers from three aspect challenges: complex image
background, same-shape category, and low-quality image. The existing machine vision …