Scaled Gradients on Grassmann Manifolds for Matrix Completion
By Thanh T. Ngo, Y. Saad. 2012
109 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bart Vandereycken
- Daniel Kressner
- Michael Steinlechner
- André Uschmajew
- Christine Tobler
- Andrzej S. Cichocki
- Peter Benner
- Valeria Simoncini
Citations in the corpus
- A literature survey of low‐rank tensor approximation techniques (2013, neutral): “Examples include nonlinear conjugate gradient or Newton-like methods on manifolds of low-rank matrices [35,191,198,257,258] or low-rank tensors [52,53,131,132,255], see also Section 3.4.”
- Low-rank tensor completion by Riemannian optimization (2014, background): “A similar approach has been considered in [19, 21, 30] for the matrix case, where it was shown to be competitive to other state-ofthe-art approaches to matrix completion.”