Background: Protein structural data has increased exponentially, such that fast and accurate tools are necessary to access structure similarity search. To improve the search speed...
Categorisation of objects into classes is currently supported by (at least) two ‘orthogonal’ methods. In logic-based approaches, classifications are defined through ontologi...
Mikhail Sheremet, Dmitry Tishkovsky, Frank Wolter,...
Large-scale distributed data management with P2P systems requires the existence of similarity operators for queries as we cannot assume that all users will agree on exactly the sa...
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
In this paper, we study the class of competitive equilibria in two sided matching markets with general (non-quasilinear) utility functions. Mechanism design in general non-quasili...