Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
This paper elucidates an emergent theory of organizational structure, process and leadership which the author believes will characterize the Internet based workplace of the future...
This paper deals with the three-dimensional reconstruction of an underwater environment from multiple acoustic range views acquired by a remotely operated vehicle. The problem is m...
Andrea Fusiello, Umberto Castellani, Lucca Ronchet...
— Achieving high performance for out-of-core applications typically involves explicit management of the movement of data between the disk and the physical memory. We are developi...
Sriram Krishnamoorthy, Juan Piernas, Vinod Tippara...
This paper discusses a model-based design flow for requirements in distributed embedded software development. Such requirements are specified using a language similar to Linear T...
Luciano Lavagno, Marco Di Natale, Alberto Ferrari,...