Highly Influenced
6 Excerpts
Abstract
The low-rank matrix completion problem is a fundamental problem with many important applications. Recently, [4],[13] and [5] obtained the first non-trivial theoretical results for the problem assuming that the observed entries are sampled uniformly at random. Unfortunately, most real-world datasets do not satisfy this assumption, but instead exhibit power… (More)
Topics
4 Figures and Tables
Statistics
Citations per Year
Citation Velocity: 14
Averaging 14 citations per year over the last 3 years.
Learn more about how we calculate this metric in our FAQ.