Abstract: Measurement data sometimes contain a few outliers that have a large deviation from the actual value. For such data, the reconstruction results will be greatly distorted around the outliers.

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Abstract: It has been made great progress on single image deraining based on deep convolutional neural networks (CNNs). In most existing deep deraining methods, CNNs aim to learn a direct mapping from ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...