Many software attacks are based on injecting malicious code into a target host. This paper demonstrates the use of a wellknown technique, data tainting, to track data received fro...
Alex Ho, Michael A. Fetterman, Christopher Clark, ...
In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, B...
For many software projects, bug tracking systems play a central role in supporting collaboration between the developers and the users of the software. To better understand this co...
Silvia Breu, Rahul Premraj, Jonathan Sillito, Thom...
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...