Abstract: Most modern computer applications should run on heterogeneous platforms and, moreover, objects and respective code should be easily interchangeable between distinct platf...
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
—We consider a new generation of COTS Software Routers (SRs), able to effectively exploit multi-Core/CPU HW platforms. Our main objective is to evaluate and to model the impact o...
—Automatic service and application deployment and management is becoming possible through the use of service and infrastructure discovery and policy systems. But using the infras...
Robert Adams, Ricardo Rivaldo, Guilherme Germoglio...
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...