Results 111 to 120 of about 2,091,920 (156)
Applied SciencesThe matrix completion problem aims to recover missing entries in a partially observed matrix by approximating it with a low-rank structure. The two common approaches—the singular value thresholding and matrix factorization with alternating least squares ...
Geunseop Lee
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Matrix Completion with Queries
, 2016 In many applications, e.g., recommender systems and traffic monitoring, the data comes in the form of a matrix that is only partially observed and low rank.
Evimaria Terzi +2 more
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Low-rank matrix approximation with weights or missing data is NP-hard [PDF]
Weighted low-rank approximation (WLRA), a dimensionality reduction technique for data analysis, has been successfully used in several applications, such as in collaborative filtering to design recommender systems or in computer vision to recover ...
GILLIS, Nicolas, GLINEUR, François
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Diversity Constraint and Adaptive Graph Multi-View Functional Matrix Completion
AxiomsThe integrity of real-time monitoring data is paramount to the accuracy of scientific research and the reliability of decision-making. However, data incompleteness arising from transmission interruptions or extreme weather disrupting equipment operations
Haiyan Gao, Youdi Bian
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IEEE AccessThe transition to a sustainable energy future will result in greater dynamics of aggregated power generation and demand in distribution networks. A vast network with limited real-time measurements presents challenges in comprehensively monitoring the ...
Jun-Chuan Hu +3 more
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Scaled matrix completion and cell deconvolution with NanoString data [PDF]
, 2018 Thesis (Master's)--University of Washington, 2018This thesis explores two research problems in Chapters 1 and 2. Chapter 1 combines pivotal penalized estimation, with matrix completion, to introduce a new matrix completion problem, where the optimal ...
Zhang, Yichen
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Robust alternative minimization for matrix completion
, 2012 Recently, much attention has been drawn to the problem of matrix completion, which arises in a number of fields, including computer vision, pattern recognition, sensor network, and recommendation systems.
Gong, T. +4 more
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, 2014 "The Office of Student Access and Completion (OSAC) matches data to determine graduation rates of Oregon Opportunity Grant recipients as part of the legislatively required Key Performance Measures."This archived document is maintained by the State ...
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Learning Translations via Matrix Completion
, 2017 International audienceBilingual Lexicon Induction is the task of learning word translations without bilingual parallel corpora. We model this task as a matrix completion problem, and present an effective and extendable framework for completing the matrix.
Callahan, Brendan +13 more
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Structured low-rank approximation with missing data
The approach of SIAM J. Matrix Anal. Appl., 26(4):1083--1099 for solving structured total least squares problems is generalized to weighted structured low-rank approximation with missing data. The method proposed is based on elimination of the correction
Markovsky, Ivan, Usevich, Konstantin
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