In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
We propose an architecture for self-adjusting and self-healing atomic memory in highly dynamic systems exploiting peer-to-peer (p2p) techniques. Our approach, named SAM, brings to...
Emmanuelle Anceaume, Maria Gradinariu, Vincent Gra...
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
Protection of digital data from unauthorized access is of paramount importance. In the past several years, much research has concentrated on protecting data from the standpoint of...
A preprocessing procedure that uses a local guided search defined in terms of a neighborhood structure to get a feasible solution (UB) and the Osorio and Glover[18, 20] exploiting ...