Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
Current weather forecast and visualization systems lack the scalability to support numerous customized requests for weather research and forecasting, especially at the time of nat...
This paper proposes an algorithm to simultaneously estimate both the 3D shape and parameters of a surface reflectance model from multiple views of an object made of a single mater...
P2P applications have found a lot of interest lately but there are open questions about the viability of the revenue models behind P2P applications/ services. In this paper, we di...