Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Meta models are the core of enterprise architecture, but still few methods are available for the creation of meta models tailored for specific purposes. This paper presents two app...
Interest has been growing in opportunities to build and deploy statistical models that can infer a computer user’s current interruptability from computer activity and relevant c...
Multicriteria analysis can be incorporated as a method to model preferences and facilitate decision making within a group of decision makers. In this paper we present a Group Deci...
George Rigopoulos, Nikolaos V. Karadimas, Alessand...