The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
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...
Abstract. Manual surface reconstruction is still an everyday practice in applications involving complex irregular domains necessary for modeling biological systems. Rapid developme...
To cope with the explosive increase in the number of requests to Internet server systems, one popular solution is a load-balancing technique that uses a dispatcher in the front-en...
Background: Hundreds of genes that are causally implicated in oncogenesis have been found and collected in various databases. For efficient application of these abundant but diver...