Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Supporting entity extraction from large document collections is important for enabling a variety of important data analysis tasks. In this paper, we introduce the "ad-hoc&quo...
Abstract. This contribution describes the system developed and implemented for the detection of snow based on the fusion of optical and Synthetic Aperture Radar (SAR) remote sensin...
Aureli Soria-Frisch, Antonio Repucci, Laura Moreno...
We consider fast two-sided error-tolerant search that is robust against errors both on the query side (type alogrithm, find documents with algorithm) as well as on the document si...
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...