This paper proposes a method for detecting instances of shape classes that exhibit variable structure. The term "variable structure" is used to characterize shape classes...
Vassilis Athitsos, Jingbin Wang, Stan Sclaroff, Ma...
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
We present in this article a precise security model for data confidentiality in the framework of asynchronous and deterministic objects. Our underlying programming model is based ...
Denis Caromel, Ludovic Henrio, Bernard P. Serpette
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Multiple viewpoints are often used in Requirements Engineering to facilitate traceability to stakeholders, to structure the requirements process, and to provide richer modelling b...
Tim Menzies, Steve M. Easterbrook, Bashar Nuseibeh...