Personalized outfit recommendation, which aims to recommend the outfits to a given user
according to his/her preference, has gained increasing research attention due to its …

With the advent of the Industry 4.0 era, the development of smart cities based on the Internet
of Things (IoT) has reached a new level. As a key component of the Internet of Things (IoT) …

Multi-modal hashing is an effective technique to support large-scale multimedia retrieval,
due to its capability of encoding heterogeneous multi-modal features into compact and …

Heterogeneous information networks usually contain different kinds of nodes and
distinguishing types of relations, which can preserve more information than homogeneous …

Electricity price forecasting is a significant part of smart grid because it makes smart grid cost
efficient. Nevertheless, existing methods for price forecasting may be difficult to handle with …

With the electric power grid experiencing a rapid shift to the smart grid paradigm over a
deregulated energy market, Internet of Things (IoT) based solutions are gaining prominence …

Hashing could significantly accelerate large-scale image search by transforming the high-
dimensional features into binary Hamming space, where efficient similarity search can be …

Supervised deep learning-based hash and vector quantization are enabling fast and large-
scale image retrieval systems. By fully exploiting label annotations, they are achieving …

Machine learning can provide deep insights into data, allowing machines to make high-
quality predictions and having been widely used in real-world applications, such as text …

In recent years a vast amount of visual content has been generated and shared from various
fields, such as social media platforms, medical images, and robotics. This abundance of …