Work

Matrix completion from a few entries

Year: 2009

Type: conference-paper

Source: IEEE International Symposium on Information Theory (ISIT)

DOI: 10.1109/isit.2009.5205567

Authors: Raghunandan H. Keshavan, Sewoong Oh, Andrea Montanari

Institution: Stanford University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: G6671297155, CAREER: New Information Processing Techniques from Statistical Physics and Probability Theory

OpenAlex ID: W2000157792

FWCI: 39.03

Cites: 33

Cited by: 697

Related to: 10