We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...
Abstract—The literature about fault analysis typically describes fault injection mechanisms, e.g. glitches and lasers, and cryptanalytic techniques to exploit faults based on som...
Josep Balasch, Benedikt Gierlichs, Ingrid Verbauwh...
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
We investigate dynamical models of human motion that can
support both synthesis and analysis tasks. Unlike coarser
discriminative models that work well when action classes are ...
Abstract— Time-to-Market plays a central role on System-ona-Chip (SoC) competitiveness and the quality of the final product is a matter of concern as well. As SoCs complexity in...