We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
The similarities between unvoiced speech sounds and turbulent breath sounds were used to detect change in sound characteristics caused by narrowing of the upper airway (UA), simil...
Hisham Alshaer, Martha Garcia, M. Hossein Radfar, ...
In this paper we investigate the fault diagnosis problem in IP networks. We provide a lower bound on the average number of probes per edge using variational inference technique pro...
Rajesh Narasimha, Souvik Dihidar, Chuanyi Ji, Stev...
In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
In this paper the tradeoff between energy and delay for wireless networks is studied. A network using a request-to-send (RTS) and clear-to-send (CTS) type medium access control (M...
Shih Yu Chang, Wayne E. Stark, Achilleas Anastasop...