This paper presents a class of algorithms suitable for model reduction of distributed systems. Distributed systems are not suitable for treatment by standard model-reduction algor...
Entropy encoding and decoding is a crucial part of any multimedia system that can be highly demanding in terms of computing power. Hardware implementation of typical compression a...
—In this paper, we study the downlink precoding schemes for MIMO Gaussian broadcast channels (MIMO GBC). A novel low-complexity zero-forcing dirty-paper-coding (DPC) scheme, name...
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Abstract— Data mining constitutes an important class of scientific and commercial applications. Recent advances in data extraction techniques have created vast data sets, which ...