Abstract. The DEFACTO project - a Design Environment For Adaptive Computing TechnOlogy - is a system that maps computations, expressed in high-level languages such as C, directly o...
Pedro C. Diniz, Mary W. Hall, Joonseok Park, Byoun...
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
In this paper we introduce a concept of how the status of project partners in a virtual collaboration environment can be transferred in a subtle manner to gain useful information ...
Moritz Kemper, Constanze Langer, Christine Strotho...