This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
The paper presents an idea about joint use some of new technologies such as the Semantic Web, Web services and Web agents together with an already existing concept. It is a concep...
In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communic...
Daniel A. Keim, Florian Mansmann, Daniela Oelke, H...
— This paper proposes a low complexity unitary precoding scheme for multiple-input multiple-output (MIMO) systems. The singular-value decomposition (SVD) based transmission is ca...
Seokhwan Park, Heunchul Lee, Sang-Rim Lee, Inkyu L...
Significant power savings can be achieved on voltage/frequency configurable platforms by dynamically adapting the frequency and voltage according to the workload (complexity). Vid...