Results 31 to 40 of about 2,091,920 (156)
CoRR, 2018 Matrix completion aims to reconstruct a data matrix based on observations of a small number of its entries. Usually in matrix completion a single matrix is considered, which can be, for example, a rating matrix in recommendation system. However, in practical situations, data is often obtained from multiple sources which results in a collection of ...
Alaya, Mokhtar Z., Klopp, Olga
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Binary Matrix Completion With Nonconvex Regularizers
IEEE Access, 2019 Many practical problems involve the recovery of a binary matrix from partial information, so the binary matrix completion (BMC) technique has increasingly been of interest in machine learning. In particular, we consider a special case of the BMC problems,
Chunsheng Liu, Hong Shan
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High-Performance Homomorphic Matrix Completion on Multiple GPUs
IEEE Access, 2020 In various applications such as trajectory tracking in mobile social networks and online recommendation systems, the massive raw data are often incomplete due to various unpredictable or unavoidable reasons. Matrix completion algorithms are effective for
Tao Zhang, Han Lu, Xiao-Yang Liu
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Anomaly-Tolerant Traffic Matrix Estimation via Prior Information Guided Matrix Completion
IEEE Access, 2017 Network management, planning, and optimization rely on accurate and complete traffic measurement. However, anomalies and missing data are inevitable in direct traffic measurement because of high measurement costs and unreliable network transport ...
Wencai Ye +4 more
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Accelerated Path Tracing With GAN and Matrix Completion
IEEE Access, 2021 Denoising-based techniques have recently been shown to be effective for accelerating path tracing rendering methods. However, there remains a problem which is input images need the minimum necessary samples number in order to ensure the quality of the ...
Qiwei Xing, Chunyi Chen, Zhihua Li
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Imputation of quantitative genetic interactions in epistatic MAPs by interaction propagation matrix completion [PDF]
, 2014 A popular large-scale gene interaction discovery platform is the Epistatic Miniarray Profile (E-MAP). E-MAPs benefit from quantitative output, which makes it possible to detect subtle interactions.
Zupan, Blaz, Zitnik, Marinka
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Axioms, 2023 To improve the accuracy of color image completion with missing entries, we present a recovery method based on generalized higher-order scalars. We extend the traditional second-order matrix model to a more comprehensive higher-order matrix equivalent ...
Liang Liao +9 more
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Optimization of Data Matrix Completion by Symmetric Weighting Algorithm
四川大学学报. 自然科学版, 2021 Data set matrix is missing in data analysis, data elements can be completed by data matrix, and the efficient completion data matrix algorithm can be optimized and improved from the aspects of algorithm accuracy.
LIU Yun, ZHENG Wen-Feng, ZHANG Yi
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A regularised deep matrix factorised model of matrix completion for image restoration
IET Image Processing, 2022 It has been an important approach of using matrix completion to perform image restoration. Most previous works on matrix completion focus on the low‐rank property by imposing explicit constraints on the recovered matrix, such as the constraint of the ...
Zhemin Li +3 more
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