The present paper reports on an end-to-end application using a deep processing grammar to extract spatial and temporal information of prepositional and adverbial expressions from ...
Lars Hellan, Dorothee Beermann, Jon Atle Gulla, At...
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
In this paper we introduce a relighting algorithm for diffuse outdoor scenes that enables us to create geometrically correct and illumination consistent models from a series of ra...
— As a platform for synergistic theory-experiment exploration in the field of wireless networking, wireless testbeds have been used to facilitate a broad range of research. From...
Jing Lei, Roy D. Yates, Larry J. Greenstein, Hang ...