In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
Although it is possible to present XML Schema graphically, resentations do not raise the level of abstraction for XML schemata in the same way traditional conceptual models raise t...
Reema Al-Kamha, David W. Embley, Stephen W. Liddle
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
This paper describes a recently completed project involving the development of simulation models for the new international terminal at Istanbul Ataturk Airport, Istanbul, Turkey. ...
This paper reviews model-based methods for non-rigid shape recognition. These methods model, match and classify non-rigid shapes, which are generally problematic for conventationa...