The content based image retrieval aims to find the similar images from a large scale dataset
against a query image. Generally, the similarity between the representative features of the …

Hashing-based techniques have provided attractive solutions to cross-modal similarity
search when addressing vast quantities of multimedia data. However, existing cross-modal …

Thanks to the proliferation of the Internet of Things (IoT), pervasive healthcare is gaining
popularity day by day as it offers health support to patients irrespective of their location. In …

Learning to hash is a fundamental technique widely used in large-scale image retrieval.
Most existing methods for learning to hash address the involved discrete optimization …

Hashing has been widely used for large-scale remote sensing image retrieval due to its
outstanding advantages in storage and search speed. Recently, deep hashing methods …

This paper presents a novel framework, namely Deep Cross-modality Spectral Hashing
(DCSH), to tackle the unsupervised learning problem of binary hash codes for efficient cross …

Recently, learning to hash has been widely studied for image retrieval thanks to the
computation and storage efficiency of binary codes. Most existing learning to hash methods …

The hash function is an efficient source of the integrity and authentication of input text and
other data messages (image & audio-video) in the cryptography field. Existing hashing …

Binary hashing is an effective approach for content-based image retrieval, and learning
binary codes with neural networks has attracted increasing attention in recent years …

This article proposes a tag-based approach for physical (PHY)-layer authentication in a
reconfigurable intelligent surface (RIS) communication system. We first extract the intrinsic …