Recently, convolutional neural network (CNN) visual features have demonstrated their
powerful ability as a universal representation for various recognition tasks. In this paper …

The past decade has been characterized by the growing volumes of data due to the
widespread use of the Internet of Things (IoT) applications, which introduced many …

Disassembly modeling and planning are meaningful and important to the reuse, recovery,
and recycling of obsolete and discarded products. However, the existing methods pay little …

For efficiently retrieving nearest neighbors from large-scale multiview data, recently hashing
methods are widely investigated, which can substantially improve query speeds. In this …

In this work, we propose a deep video hashing (DVH) method for scalable video search.
Unlike most existing video hashing methods that first extract features for each single frame …

Due to the significant reduction in computational cost and storage, hashing techniques have
gained increasing interests in facilitating large-scale cross-view retrieval tasks. Most cross …

Recent years have witnessed the promising efficacy and efficiency of hashing (also known
as binary code learning) for retrieving nearest neighbor in large-scale data collections …

Hashing techniques have recently gained increasing research interest in multimedia
studies. Most existing hashing methods only employ single features for hash code learning …

Hashing compresses high-dimensional features into compact binary codes. It is one of the
promising techniques to support efficient mobile image retrieval, due to its low data …

Hashing has been widely utilized for Approximate Nearest Neighbor (ANN) search due to its
fast retrieval speed and low storage cost. In this work, we propose a novel supervised …