In this paper, we propose a new Distributed Cooperation and Diversity Combining framework. Our focus is heterogeneous networks with devices equipped with two types of radio frequen...
Recently, a number of frameworks were proposed to extend interface theory to the domains of single-processor and distributed real-time systems. This paper unifies some of these ap...
Lothar Thiele, Ernesto Wandeler, Nikolay Stoimenov
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...
Digital multimedia such as images and videos are prevalent on today's internet and cause significant social impact, which can be evidenced by the proliferation of social netw...
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...