Results 1 to 10 of about 1,650,745 (287)
Multiple-rank modification of symmetric eigenvalue problem
MethodsX, 2018 Rank-1 modifications applied k-times (k > 1) often are performed to achieve a rank-k modification. We propose a rank- k modification for enhancing computational efficiency. As the first step toward a rank- k modification, an algorithm to perform a rank-2
HyungSeon Oh, Zhe Hu
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Bilevel integer linear models for ranking items and sets
Operations Research Perspectives, 2023 Item and set orderings help with data management. Depending on the context, it is just as important to order a list of items (customers from different provinces, companies from different sectors, players from different teams) as it is to order a list of ...
Martine Labbé +2 more
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A Nonconvex Method to Low-Rank Matrix Completion
IEEE Access, 2022 In recent years, the problem of recovering a low-rank matrix from partial entries, known as low-rank matrix completion problem, has attracted much attention in many applications.
Haizhen He +3 more
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A new powerful nonparametric rank test for ordered alternative problem. [PDF]
PLoS ONE, 2014 We propose a new nonparametric test for ordered alternative problem based on the rank difference between two observations from different groups. These groups are assumed to be independent from each other. The exact mean and variance of the test statistic
Guogen Shan, Daniel Young, Le Kang
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Dictionary-Based Low-Rank Approximations and the Mixed Sparse Coding Problem
Frontiers in Applied Mathematics and Statistics, 2022 Constrained tensor and matrix factorization models allow to extract interpretable patterns from multiway data. Therefore crafting efficient algorithms for constrained low-rank approximations is nowadays an important research topic.
Jeremy E. Cohen
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Frontiers in Signal Processing, 2023 Independent component analysis (ICA) has been widely used for electroencephalography (EEG) analyses. However, ICA performance relies on several crucial assumptions about the data.
Hyeonseok Kim +8 more
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Research on Microblog Diversification Retrieval Problem Based on Rank Learning Model [PDF]
Jisuanji gongcheng, 2017 Diversification retrieval is used to solve users’ information needs,which typically described by query phrase are often ambiguous and have more than one interpretation.This paper researches microblog diversification retrieval,and proposes a novel ...
WANG Ying,LUO Zhunchen,YU Yang
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IEEE Access, 2022 Estimating the minimal number of rank-1 tensors in the Canonical Polyadic Decomposition (CPD), known as the canonical rank, is a challenging area of research.
Ouafae Karmouda +2 more
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Reducing the rank of a matroid [PDF]
Discrete Mathematics & Theoretical Computer Science, 2015 We consider the rank reduction problem for matroids: Given a matroid $M$ and an integer $k$, find a minimum size subset of elements of $M$ whose removal reduces the rank of $M$ by at least $k$. When $M$ is a graphical matroid this problem is the minimum $
Gwenaël Joret, Adrian Vetta
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Rank revealing‐based tensor completion using improved generalized tensor multi‐rank minimization
IET Signal Processing, 2021 The authors address the problem of tensor completion from limited samplings. An improved generalized tubal Kronecker decomposition is first proposed to reveal the tensor structure of the targeted data, and the improved generalized tensor tubal‐rank and ...
Wei Z. Sun, Peng Zhang, Bo Zhao
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