Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
We present a distributed topology control protocol that runs on a d-QUDG for d ≥ 1/ √ 2, and computes a sparse, constant-spanner, both in Euclidean distance and in hop distance...
Kevin M. Lillis, Sriram V. Pemmaraju, Imran A. Pir...
Over the years, many Linear Discriminant Analysis (LDA) algorithms have been proposed for the study of high dimensional data in a large variety of problems. An intrinsic limitatio...
Coordinates-based distance prediction algorithms can improve the performance of many Internet applications, especially in the peer-to-peer architecture and overlay construction. B...
Lin Cong, Yang Chen, Xiaohui Shi, Ye Wang, Weiyu W...
The runtime analysis of randomized search heuristics is a growing field where, in the last two decades, many rigorous results have been obtained. These results, however, apply pa...
Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carst...