Importance sampling of target probability distributions belonging to a g...
Atmospheric motion vectors (AMVs) extracted from satellite imagery are t...
This technical note reviews sate-of-the-art algorithms for linear
approx...
Reduced modeling in high-dimensional reproducing kernel Hilbert spaces o...
This work provides closed-form solutions and minimal achievable errors f...
This paper deals with the estimation of rare event probabilities using
i...
The state-of-the-art algorithm known as kernel-based dynamic mode
decomp...
Dynamic Mode Decomposition (DMD) has emerged as a powerful tool for anal...
This work studies the linear approximation of high-dimensional dynamical...
The objective of this paper is to investigate how noisy and incomplete
o...
In this work, we propose a novel procedure for video super-resolution, t...
High resolution satellite image sequences are multidimensional signals
c...