The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
Grid computing is becoming an important framework for enabling applications to utilize widely distributed collections of computational and data resources, however current grid sof...
Paul D. Coddington, Lici Lu, Darren Webb, Andrew L...
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Abstract. The complexity of large system models in software engineering nowadays is mastered by using different views. View-based modeling aims at creating small, partial models, e...
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...