We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
—Network Tomography (or network monitoring) uses end-to-end path-level measurements to characterize the network, such as topology estimation and failure detection. This work prov...
While removing software bugs consumes vast amounts of human time, hardware support for debugging in modern computers remains rudimentary. Fortunately, we show that mechanisms for ...
TrustedFlow™ is a software solution to the problem of remotely authenticating code during execution. A continuous flow of idiosyncratic signatures assures that the software from ...
The transmission of the large store of information contained in 3D medical data sets through limited capacity channels, is a critical procedure in many telemedicine applications. ...
Dimitrios Tzovaras, Michael G. Strintzis, Nikolaos...