We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the p-norm of the parameters. We discuss several implications ...
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
Constraint automata have been introduced to provide a compositional, operational semantics for the exogenous coordination language Reo, but they can also serve interface specifica...
Motivated by constraint-based CAD software, we introduce a new, very general, rigidity model: the body-and-cad structure, composed of rigid bodies in 3D constrained by pairwise co...