Search Results for author:
Found 2 papers, 0 papers with code
Compressed Subspace Learning Based on Canonical Angle Preserving Property
In this paper, we prove that random projection with the so-called Johnson-Lindenstrauss (JL) property approximately preserves canonical angles between subspaces with overwhelming probability.
Linear Convergence of An Iterative Phase Retrieval Algorithm with Data Reuse
In this work, we study for the first time, without the independence assumption, the convergence behavior of the randomized Kaczmarz method for phase retrieval.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
