Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
Karl F. Doerner, Walter J. Gutjahr, Richard F. Har...
—Distributed orthogonal space–time block codes (DOSTBCs) achieving full-diversity order and single-symbol maximum-likelihood (ML) decodability have been introduced recently by ...
A sensor located inside a digital camera is only able to measure the light which is reflected by an object. The reflected light varies with the spectral power distribution of the ...
In the context of the analysis of measured data, one is often faced with the task to differentiate data numerically. Typically, this occurs when measured data are concerned or dat...