Modeling fluid flow in a porous medium is a challenging computational problem. It involves highly heterogeneous distributions of porous medium property, various fluid flow char...
In this paper we present a continuous surface model to describe the interconnect geometric variation, which improves the currently used model for better accuracy while not increas...
In this paper, we develop an improved approach to the worstcase robust adaptive beamforming for general-rank signal models by means of taking into account the positive semi-defin...
Abstract. We present a system for detecting shadows in dynamic outdoor scenes. The technique is based on fusing background subtraction operations performed on both color and dispar...
Claus B. Madsen, Thomas B. Moeslund, Amit Pal, Sha...
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...