This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Our goal is to develop the capability for characterizing the three-dimensional geological structure and mechanical properties of individual sites and complete basins in earthquake-...
Volkan Akcelik, Jacobo Bielak, George Biros, Ioann...
In this paper, we analyse the algebraic immunity of symmetric Boolean functions. We identify a set of lowest degree annihilators for symmetric functions and propose an efficient al...
This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of sever...
Abstract-- We present two-dimensional (space/time) compression techniques that reduce test data volume and test application time for scan testing of intellectual property (IP) core...
Lei Li, Krishnendu Chakrabarty, Seiji Kajihara, Sh...