Results 41 to 50 of about 158,513 (260)
Optimization of Data Matrix Completion by Symmetric Weighting Algorithm
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
doaj
A regularised deep matrix factorised model of matrix completion for image restoration
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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Matrix completion discriminant analysis [PDF]
Matrix completion discriminant analysis (MCDA) is designed for semi-supervised learning where the rate of missingness is high and predictors vastly outnumber cases. MCDA operates by mapping class labels to the vertices of a regular simplex. With c classes, these vertices are arranged on the surface of the unit sphere in c - 1 dimensional Euclidean ...
Tong Tong Wu, Kenneth Lange
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Non-Linear Matrix Completion for Social Image Tagging
In this paper, we address the problem of social image tagging using practical vocabulary for mobile users on the social media. On the social media, images usually have an incomplete or noisy set of social tags provided by the mobile users, and we ...
Xing Xu +4 more
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Cooperative Electromagnetic Data Annotation via Low-Rank Matrix Completion
Electromagnetic data annotation is one of the most important steps in many signal processing applications, e.g., radar signal deinterleaving and radar mode analysis.
Wei Zhang +5 more
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The CP-Matrix Completion Problem [PDF]
arXiv admin note: text overlap with arXiv:1210.6930 by other ...
Anwa Zhou, Jinyan Fan
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Structure Label Matrix Completion for PolSAR Image Classification
Terrain classification is a hot topic in polarimetric synthetic aperture radar (PolSAR) image interpretation that aims at assigning a label to every pixel and forms a label matrix for a PolSAR image.
Qian Wu +5 more
doaj +1 more source
Low-Rank Matrix Completion via QR-Based Retraction on Manifolds
Low-rank matrix completion aims to recover an unknown matrix from a subset of observed entries. In this paper, we solve the problem via optimization of the matrix manifold. Specially, we apply QR factorization to retraction during optimization. We devise
Ke Wang +3 more
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Matrix Completion with Selective Sampling [PDF]
4 pages, 4 ...
Christian Parkinson +2 more
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