This paper addresses the efficient processing of similarity queries in metric spaces, where data is horizontally distributed across a P2P network. The proposed approach does not r...
Metric access methods (MAMs) serve as a tool for speeding similarity queries. However, all MAMs developed so far are index-based; they need to build an index on a given database. T...
The interest in near-ML detection algorithms for Multiple-Input/lMultiple-Output (MIMO) systems have always been high due to their drastic performance gain over suboptimal algorith...
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
This paper introduces a new framework of the multiple-input multiple-output (MIMO) detection in iterative receivers. Unlike the conventional methods processing with symbol lattice,...
I-Wei Lai, Chun-Hao Liao, Ernst Martin Witte, Davi...