Mine classification based on a multiview characterisation

We thus compare it with two basic methods of fusion, and with Adaboost: (1) late fusion SVM: one RBF SVM is trained on each view, and the final decision is a margin-weighted

Thus, a system that includes human-understandable percep- tual features seems particularly relevant because these features should enable significant interactions with an

computed on a image of the same scene with resolution 1m and then predicted for a resolution of 3.175m. We perform this comparison for various scales.. m 2 ) predicted from a

They represent respectively the moments estimated directly on the images at resolution of 3.175m (the ground truth) and the extrapolation results obtained by using the scheme

The idea we developed in this paper is to summarise in a single image all the sonar data acquired along a part of a semicircular trajectory of the sonar around

A covariance matrix 1/1200uCC T of size 4u4 is then constructed from the set of the new measures C of size 4u1200 ( T stands for the transpose operation). The principal axes

a) Evaluation of single crop model performance in simulating yields using LOW and HIGH levels of calibration for specific sites and crops;. b) Comparison of

To make set-valued predictions in evidential classification problems, decision criteria can be based either on a partial preorder among precise assignments, or on a complete pre-