Regularized Spline with Tension (RST) is an accurate, flexible and efficient method for multivariate interpolation of scattered data. This study evaluates its capabilities to inte...
Jaroslav Hofierka, Juraj Parajka, Helena Mit&aacut...
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
In this paper, invariant sonar texture characterization for seabed classification is addressed from the spatial distribution of image keypoints using log-Gaussian Cox processes. ...
—Modern networks are complex and hence, network operators often rely on automation to assist in assuring the security, availability, and performance of these networks. At the cor...
Kaustubh Nyalkalkar, Sushant Sinha, Michael Bailey...
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....