We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
All pairs similarity search is the problem of finding all pairs of records that have a similarity score above the specified threshold. Many real-world systems like search engine...
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...
The problem of trajectory similarity in moving object databases is a relatively new topic in the spatial and spatiotemporal database literature. Existing work focuses on the spati...
Elias Frentzos, Kostas Gratsias, Yannis Theodoridi...