Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
Abstract: Quality aspects become increasingly important while business process modeling is used in a large-scale enterprise setting. In order to facilitate a storage without redund...
Jan Mendling, Boudewijn F. van Dongen, Wil M. P. v...
Business process models are becoming available in large numbers due to their popular use in many industrial applications such as enterprise and quality engineering projects. On th...
Marcello La Rosa, Hajo A. Reijers, Wil M. P. van d...
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Abstract— In some remote sensing applications, the functional relationship between the source being observed and the sensor readings may not be known. Because of communication co...