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 …

Content-based histopathology image retrieval can be a useful technique for help in
diagnosing various diseases. The process of retrieving images is often time-consuming and …

Direct usage of original biometric features/templates definitely leads to serious privacy
leakage. In biometric cryptosystems, a biometric key is generated and then strictly protected …

The increasing utilization of medical imaging technology with digital storage capabilities has
facilitated the compilation of large-scale data repositories. Fast access to image samples …

Deep hashing has attracted broad interest in cross-modal retrieval because of its low cost
and efficient retrieval benefits. To capture the semantic information of raw samples and …

The extraction of informative features from medical images and the retrieving of similar
images from data repositories is vital for clinical decision support systems. Unlike general …

Image retrieval (IR) methods extract the most relevant images to the query images from an
image database. The existing IR methods, which retrieve images with a low degree of …

In this paper, we study deep unsupervised hashing, a critical problem for approximate
nearest neighbor research. Most recent methods solve this problem by semantic similarity …

Image retrieval has become an increasingly appealing technique with broad multimedia
application prospects, where deep hashing serves as the dominant branch towards low …

As a well-known multi-label classification method, the performance of ML-KNN may be
affected by the uncertainty knowledge from samples. The rough set theory acts as an …