Understanding knowledge representations in neural nets has been a difficult problem. Principal components analysis (PCA) of contributions (products of sending activations and conn...
Thomas R. Shultz, Yuriko Oshima-Takane, Yoshio Tak...
This paper discusses the application of speech alignment, image processing, and language understanding technologies to build efficient interfaces into large digital oral history a...
Michael G. Christel, Julieanna Richardson, Howard ...
This paper introduces a novel approach towards direct interaction with large display systems. Monocular computer vision is utilised to avoid restraints imposed by input devices. T...
Complex clinical problems involving huge experimental evidence require a preliminary validation of observed data. This may avoid biasing due to incorrect sampling and clarify the ...
We study common query intentions in a software developer network with more than one million users. Based on a large query log analysis we could identify typical search intentions a...