With the explosive growth of multimedia contents, multimedia retrieval is facing
unprecedented challenges on both storage cost and retrieval speed. Hashing technique can …

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

Cross-modal hashing, favored for its effectiveness and efficiency, has received wide
attention to facilitating efficient retrieval across different modalities. Nevertheless, most …

Multi-modal hashing makes an important contribution to multimedia retrieval, where a key
challenge is to encode heterogeneous modalities into compact hash codes. To solve this …

Graph-based multi-view clustering method has attracted considerable attention in multi-
media data analyse community due to its good clustering performance and efficiency in …

Multi-modal hashing learns binary hash codes with extremely low storage cost and high
retrieval speed. It can support efficient multi-modal retrieval well. However, most existing …

Social networks allow users to actively upload images and descriptive tags, which has led to
an explosive growth in the number of social images. Multi-view hashing is an efficient …

This paper addresses the multi-view subspace clustering problem and proposes the self-
paced enhanced low-rank tensor kernelized multi-view subspace clustering (SETKMC) …

Multi-modal hashing technology can support large-scale multimedia retrieval well, because
of its fast query speed and low storage consumption. Although many multi-modal hashing …

Graph-based solutions have achieved state-of-the-art performance on unsupervised multi-
view feature selection. However, existing methods generally characterize the sample …