A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective Article Swipe

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Fangchen Yu , Yicheng Zeng , Jianfeng Mao , Wenye Li ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1145/3696410.3714947

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Perspective (graphical) Eigenvalues and eigenvectors Computer science Matrix algebra Product (mathematics) Matrix (chemical analysis) Estimation Mathematics Algorithm Mathematical optimization Applied mathematics Artificial intelligence Engineering Physics Geometry Quantum mechanics Composite material Systems engineering Materials science

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/3696410.3714947
PDF: https://dl.acm.org/doi/pdf/10.1145/3696410.3714947
OA Status: gold
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DOI: https://doi.org/10.1145/3696410.3714947

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Title: A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective

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Language: en

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Publication year: 2025

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Publication date: 2025-04-22

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Authors: Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li

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Landing page: https://doi.org/10.1145/3696410.3714947

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Concepts: Perspective (graphical), Eigenvalues and eigenvectors, Computer science, Matrix algebra, Product (mathematics), Matrix (chemical analysis), Estimation, Mathematics, Algorithm, Mathematical optimization, Applied mathematics, Artificial intelligence, Engineering, Physics, Geometry, Quantum mechanics, Composite material, Systems engineering, Materials science

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