In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
Abstract. Recently, the recoverable robustness model has been introduced in the optimization area. This model allows to consider disruptions (input data changes) in a unified way, ...
Serafino Cicerone, Gabriele Di Stefano, Michael Sc...
The current data network scenario makes Traffic Engineering (TE) a very challenging task. The ever growing access rates and new applications running on end-hosts result in more var...
Service-oriented Architectures support the provision, discovery, and usage of services in different application contexts. The Web Service specifications provide a technical founda...
Michael Menzel, Robert Warschofsky, Christoph Mein...