Metric space is a universal and versatile model of similarity that can be applied in various
areas of information retrieval. However, a general, efficient, and scalable solution for metric …

With the advance of various location-acquisition technologies, a myriad of GPS trajectories
can be collected every day. However, the raw coordinate data captured by sensors often …

The demise of first generation service models of application service providers (ASP)
indicates that moving from individualized services (eg many outsourcing offerings) to fully …

Range searches in metric spaces can be very difficult if the space is “high dimensional”, ie
when the histogram of distances has a large mean and/or a small variance. This so-called …

Metric space as a universal and versatile model of similarity can be applied in various areas
of non-text information retrieval. However, a general, efficient and scalable solution for …

Negative selection algorithm (NSA) is an important algorithm for the generation of artificial
immune detectors. However, the randomly generated candidate detectors have to be …

Much recent work has been devoted to approximate nearest neighbor queries. Motivated by
applications in recommender systems, we consider approximate furthest neighbor (AFN) …

Metric space is a universal and versatile model of similarity that can be applied in various
areas of non-text information retrieval. However, a general, efficient and scalable solution for …

The concept of Locality-sensitive Hashing (LSH) has been successfully used for searching
in high-dimensional data and a number of locality-preserving hash functions have been …

Distance permutation indexes support fast proximity searching in high-dimensional metric
spaces. Given some fixed reference sites, for each point in a database the index stores a …