We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific an...
This paper presents a classification framework for workflow exception handling in the form of patterns. This framework is independent of specific modelling approaches or technologi...
Nick Russell, Wil M. P. van der Aalst, Arthur H. M...
This work presents a methodology to formally model and to build collaborative three dimensional interaction tasks in virtual environments using three different tools: Petri Nets, ...
Rafael Rieder, Marcio Sarroglia Pinho, Alberto Bar...
We present an approach for the supervised online learning of object representations based on a biologically motivated architecture of visual processing. We use the output of a rece...
Each part of a mobile robot has particular aspects of its own, which must be integrated in order to successfully conclude a specific task. Among these parts, sensing enables to co...
Luciano Oliveira, Augusto Costa, Leizer Schnitman,...