Binary Component Decomposition Part I: The Positive-Semidefinite Case

July 31, 2019 Β· Declared Dead Β· πŸ› 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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