The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
A central quantity in steady-state simulation is the time-average variance constant. Estimates of this quantity are needed (for example) for constructing confidence intervals, an...
Halim Damerdji, Shane G. Henderson, Peter W. Glynn
Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generat...
Ahmet Emir Dirik, Sevinc Bayram, Husrev T. Sencar,...
— In a real-world, labor market consist of employer and employee, and these individuals form relationship through mutual interactions. This paper mainly focuses on development of...
—In this paper we propose a virtualization layer to handle the program execution on reconfigurable computers in order to address one of their biggest problems which is the manage...