: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
We deal with the problem of obtaining rigorous bounds to the position of 3-D points computed by stereo triangulation when both the camera matrix and the image points are affected ...
Alessandro Busti, Andrea Fusiello, Arrigo Benedett...
A number of image set compression algorithms have been proposed in the literature. A key component of these algorithms is a numeric measure used to quantify how similar two images ...
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...