Binary Component Decomposition Part I: The Positive-Semidefinite Case
July 31, 2019 Β· Declared Dead Β· π SIAM Journal on Mathematics of Data Science
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Authors
Richard Kueng, Joel A. Tropp
arXiv ID
1907.13603
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.MG,
math.OC,
math.ST
Citations
12
Venue
SIAM Journal on Mathematics of Data Science
Last Checked
3 months ago
Abstract
This paper studies the problem of decomposing a low-rank positive-semidefinite matrix into symmetric factors with binary entries, either $\{\pm 1\}$ or $\{0,1\}$. This research answers fundamental questions about the existence and uniqueness of these decompositions. It also leads to tractable factorization algorithms that succeed under a mild deterministic condition. A companion paper addresses the related problem of decomposing a low-rank rectangular matrix into a binary factor and an unconstrained factor.
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