We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
—This paper reviews the pertinence and statistical behavior of symbol-spaced tapped-delay-line (TDL) models which are widely used to model wide-sense stationary uncorrelated scat...
Model checking has proven to be an effective technology for verification and debugging in hardware and more recently in software domains. With the proliferation of multicore arch...
The performance of the acoustic models is highly reflective on the overall performance of any continuous speech recognition system. Hence generation of an accurate and robust acou...
Aspect-Oriented Modeling (AOM) approaches propose to model reusable aspects, or cross-cutting concerns, that can be composed in different systems at a model or code level. Buildin...
Philippe Lahire, Brice Morin, Gilles Vanwormhoudt,...