This is a preview. Log in through your library . Abstract Gaussian random fields have been one of the most popular tools for analyzing spatial data. However, many geophysical and environmental ...

Feature sensitive re-sampling of point set surfaces is an important and challenging task in many computer graphics and geometric modeling applications. Professor MIAO Yongwei and his group at the ...

The subject of this work is a study of four properties of an isotropic Gaussian process on an infinite dimensional sphere in Hilbert space. The process is deterministic in the sense that its values on ...

Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...

Figure 1: HOP sphere representation of vector vortex beams. In contrast to the complexity and challenges of producing OAM beams and vector vortex beams from lasers, the control of polarization or SAM ...