Deep Learning (DL) has become a crucial technology for multimedia computing. It offers a
powerful instrument to automatically produce high-level abstractions of complex multimedia …

The multimedia community has witnessed the rise of deep learning–based techniques in
analyzing multimedia content more effectively. In the past decade, the convergence of deep …

Recently, deep learning techniques have enjoyed success in various multimedia
applications, such as image classification and multi-modal data analysis. Two key factors …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Recently, the deep computation model, as a tensor deep learning model, has achieved
super performance for multimedia feature learning. However, the conventional deep …

Recently we have observed emerging uses of deep learning techniques in multimedia
systems. Developing a practical deep learning system is arduous and complex. It involves …

Deep learning has recently achieved very promising results in a wide range of areas such
as computer vision, speech recognition and natural language processing. It aims to learn …

The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Recent breakthroughs in deep learning and artificial intelligence technologies have enabled
numerous mobile applications. While traditional computation paradigms rely on mobile …

With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …