This paper proposes a novel subspace approach towards direct identification of a residual model for fault detection and isolation (FDI) in a system with non-uniformly sampled mult...
Automated classification of land cover types based on hyperspectral imagery often involves a large geographical area, but class labels are available for only small portions of the...
This paper summarizes a series of recent research results made at Edinburgh University based applying domain knowledge of standard shapes and relationships to solve or improve arc...
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Remote access to large scale images arouses a growing interest in fields such as Medical Imagery or Remote Sensing. This raises the need for algorithms guaranteeing navigation sm...
Antonin Descampe, Jihong Ou, Philippe Chevalier, B...