Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Abstract— The Active Constellation Extension (ACE) technique is a lossless (in terms of throughput) Peak-to-Average Power Ratio (PAR) reduction technique that adaptively extends ...
We give the first black-box reduction from arbitrary approximation algorithms to truthful approximation mechanisms for a non-trivial class of multiparameter problems. Specifically,...
The performance and immersiveness of telepresence and teleaction systems critically depend on the quality of the communication between the operator and the teleoperator. High pack...
Julius Kammerl, Peter Hinterseer, Eckehard G. Stei...