Active Shape Model is an efficient way for localizing objects with variable shapes. When ASM is extended to multiview cases, the parameter estimation approaches in previous works ...
Speech has a property that the speech unit preceding a speech pause tends to lengthen. This work presents the use of a dynamic Bayesian network to model the prepausal lengthening ...
Ning Ma, Chris Bartels, Jeff A. Bilmes, Phil Green
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Aperiodic requests with unknown execution times and unknown arrival patterns are dynamically mapped to ratebased execution (RBE) tasks with variable rates and scheduled such that ...
Feature models are widely used to model software product-line (SPL) variability. SPL variants are configured by selecting feature sets that satisfy feature model constraints. Conf...
Jules White, Douglas C. Schmidt, David Benavides, ...