This paper presents a method for detection of sinusoidal signals corrupted by an additive noise in the short-time Fourier domain. The proposed method is based on probabilistic mod...
In this paper, we present a global scheme for encoding/ decoding natural video sequences with partial 3D models. This technique is based on a robust estimation of a constrained de...
This paper describes a design space exploration experiment for a real application from the embedded networking domain - the physical layer of a wireless protocol. The application ...
Laura Vanzago, Bishnupriya Bhattacharya, Joel Camb...
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...