Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. ...
Ken Smith, Craig Bonaceto, Chris Wolf, Beth Yost, ...
We present a distributed framework that enables real-time streaming and visualization of data generated by large remote simulations. We address issues arising from distributed cli...
Valerio Pascucci, Daniel E. Laney, Ray J. Frank, F...
For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To...
It is well known that many Web pages are difficult for visually disabled people to use. Without access to a rich, visual display, the intended structure and organisation of the pa...
Caroline Jay, Robert Stevens, Mashhuda Glencross, ...
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...