Results 61 to 70 of about 3,678,430 (211)
Linear Algebra and its Applications, 2003 An \(n \times n\) matrix is called an \(N\)-matrix if all principal minors are negative. The authors prove that a combinatorially symmetric partial \(N\)-matrix has an \(N\)-matrix completion if the graph of its specified entries is a 1-chordal graph.
Araújo, C. Mendes +2 more
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Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees [PDF]
, 2014 This paper addresses the problem of ad hoc microphone array calibration where only partial information about the distances between microphones is available.
Asaei, Afsaneh +4 more
core +2 more sources
Cooperative Electromagnetic Data Annotation via Low-Rank Matrix Completion
Remote Sensing, 2022 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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Non-Linear Matrix Completion for Social Image Tagging
IEEE Access, 2017 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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Low-Rank Matrix Completion via QR-Based Retraction on Manifolds
Mathematics, 2023 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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MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2021 With the development of high-through sequencing technology and microbiology, many studies have evidenced that microbes are associated with human diseases, such as obesity, liver cancer, and so on.
C. Yan +4 more
semanticscholar +1 more source
Structure Label Matrix Completion for PolSAR Image Classification
Remote Sensing, 2020 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
, 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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Linear Algebra and its Applications, 2009 In the paper the author gives results about the following two problems over an arbitrary field: Problem 1. Under which conditions does there exist a matrix with prescribed eigenvalues, characteristic polynomials, when some of its entries are prescribed and others vary. Problem 2.
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, 2021 Matrix completion is the study of recovering an underlying matrix from a sparse subset of noisy observations. Traditionally, it is assumed that the entries of the matrix are "missing completely at random" (MCAR), i.e., each entry is revealed at random, independent of everything else, with uniform probability.
Agarwal, Anish +3 more
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