Abstract: Current spectral compressed sensing methods via Hankel matrix completion employ symmetric factorization to demonstrate the low-rank property of the Hankel matrix. However, previous ...

Abstract: To drastically speed up Kirsch's factorization method for inverse scattering problems, we propose a novel adaptive algorithm that automatically generates nonuniform sampling points according ...

The feature point tracker we use is Kanade–Lucas–Tomasi (KLT) feature tracker [1]. Good features are located by examining the minimum eigenvalue of each 2 by 2 gradient matrix, and features are ...

Data-mining of single-cell RNA sequencing (scRNA-seq) is often transformed into learning of lower-dimensional embedding (Becht et al., 2019; Haghverdi et al., 2015; Maaten and Hinton, 2008) of the ...

Prime factorization is the process of expressing an integer as the product of prime numbers only. For example, 140 would be expressed as 2x2x5x7. For each integer, there is only one correct ...

Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible ...

A novel coronavirus, named COVID-19, has become one of the most prevalent and severe infectious diseases in human history. Currently, there are only very few vaccines and therapeutic drugs against ...