Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
Spatial frequencies in an image influence visual analysis across a distributed, hierarchically organized brain network. Low spatial frequency (LSF) information may rapidly reach h...
Carole Peyrin, Christoph M. Michel, Sophie Schwart...
This paper examines several techniques for static timing analysis. In detail, the first part of the paper analyzes the connection of prediction accuracy (worst case execution tim...
We propose a cord distance in the space of dynamical models that takes into account their dynamics, including transients, output maps and input distributions. In data analysis app...
Abstract. We show how a program analysis technique originally developed for C-like pointer structures can be adapted to analyse the hierarchical structure of processes in the ambie...