Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
We present a novel approach for summarizing video in the form of a multiscale image that is continuous in both the spatial domain and across the scale dimension: There are no hard...
Connelly Barnes, Dan B. Goldman, Eli Shechtman, Ad...
Formal modeling of complex systems is a non-trivial task, especially if a formal method does not facilitate separate development of the components of a system. This paper describes...
Petros Kefalas, George Eleftherakis, Evangelos Keh...
: How do you introduce product lines into a hardware dominated organization that has increasing software architecture awareness and products with extremely limited memory resources...
Abstract. As the UML attempts to make the transition from a single, albeit extensible, language to a framework for a family of languages, the nature and form of the underlying meta...