Recently, convolutional neural networks (CNN) have demonstrated impressive performance
in various computer vision tasks. However, high performance hardware is typically …

Due to its low storage cost and fast query speed, cross-modal hashing (CMH) has been
widely used for similarity search in multimedia retrieval applications. However, most existing …

Next Point-of-Interest (POI) recommendation has become an indispensable functionality in
Location-based Social Networks (LBSNs) due to its effectiveness in hel** people decide …

We are witnessing an explosive development and widespread application of deep neural
networks (DNNs) in various fields. However, DNN models, especially a convolutional neural …

Points of interest (POI) recommendation has been drawn much attention recently due to the
increasing popularity of location-based networks, eg, Foursquare and Yelp. Among the …

Nearest neighbor search is a fundamental problem in various domains, such as computer
vision, data mining, and machine learning. With the explosive growth of data on the Internet …

Hashing has been proved an attractive technique for fast nearest neighbor search over big
data. Compared with the projection based hashing methods, prototype-based ones own …

Multi-view hashing (MvH) learns compact hash code by efficiently integrating multi-view
data, and has achieved promising performance in large-scale retrieval task. In real-world …

Data reduction in storage systems is an effective solution to minimize the management cost
of a data center. To maximize data-reduction efficiency, prior works propose post …

Hashing based approximate nearest neighbor search embeds high dimensional data to
compact binary codes, which enables efficient similarity search and storage. However, the …