Results 1 to 10 of about 196,468 (204)
Generalized Discriminant Orthogonal Nonnegative Tensor Factorization for Facial Expression Recognition [PDF]
The Scientific World Journal, 2014 In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non-negative tensor factorization algorithm.
Zhang XiuJun, Liu Chang
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NTD-DR: Nonnegative tensor decomposition for drug repositioning. [PDF]
PLoS ONE, 2022 Computational drug repositioning aims to identify potential applications of existing drugs for the treatment of diseases for which they were not designed.
Ali Akbar Jamali +3 more
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Portfolio strategy based on nonnegative tensor decomposition
Nantong Daxue xuebao. Ziran kexue ban, 2023 Effective extraction of the inter dependence between the stock pairs from stock price time series can improve the return rate of portfolio investment. This study uses non-negative tensor decomposition technology based on block coordinate descent method ...
XU Xiangjian; MA Haiyang; ZHAO Weihua
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Image Clustering Algorithm Based on Hypergraph Regularized Nonnegative Tucker Decomposition [PDF]
Jisuanji gongcheng, 2022 The internal geometry structure of high-dimensional data is ignored when nonnegative tensor decomposition is applied to image clustering.To solve this problem, we propose a Hypergraph regularized Nonnegative Tucker Decomposition(HGNTD) model by adding a ...
CHEN Luyao, LIU Qilong, XU Yunxia, CHEN Zhen
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Discriminative Nonnegative Tucker Decomposition for Tensor Data Representation
Mathematics, 2022 Nonnegative Tucker decomposition (NTD) is an unsupervised method and has been extended in many applied fields. However, NTD does not make use of the label information of sample data, even though such label information is available.
Wenjing Jing, Linzhang Lu, Qilong Liu
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Accelerated non-negative tensor completion via integer programming
Frontiers in Applied Mathematics and Statistics, 2023 The problem of tensor completion has applications in healthcare, computer vision, and other domains. However, past approaches to tensor completion have faced a tension in that they either have polynomial-time computation but require exponentially more ...
Wenhao Pan +3 more
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Sparsity-Constrained Coupled Nonnegative Matrix–Tensor Factorization for Hyperspectral Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral unmixing refers to a source separation problem of decomposing a hyperspectral imagery (HSI) to estimate endmembers, and their corresponding abundances.
Heng-Chao Li +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral unmixing aims to separate pure materials and their corresponding proportions that constitute the mixed pixels of hyperspectral imagery (HSI). Recently, the matrix-vector nonnegative tensor factorization (MV-NTF) has attracted wide attention
Ping Yang +3 more
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Some bounds for the Z-eigenpair of nonnegative tensors
Journal of Inequalities and Applications, 2019 Tensor eigenvalue problem is one of important research topics in tensor theory. In this manuscript, we consider the properties of Z-eigenpair of irreducible nonnegative tensors. By estimating the ratio of the smallest and largest components of a positive
Xiaoyu Ma, Yisheng Song
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Bounds for the Z-eigenpair of general nonnegative tensors
Open Mathematics, 2016 In this paper, we consider the Z-eigenpair of a tensor. A lower bound and an upper bound for the Z-spectral radius of a weakly symmetric nonnegative irreducible tensor are presented.
Liu Qilong, Li Yaotang
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