Results 21 to 30 of about 36,142 (194)
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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Data mining by nonnegative tensor approximation [PDF]
2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2014 Inferring multilinear dependences within multi-way data can be performed by tensor decompositions. Because of the presence of noise or modeling errors, the problem actually requires an approximation of lower rank. We concentrate on the case of real 3-way data arrays with nonnegative values, and propose an unconstrained algorithm resorting to an ...
Cabral Farias, Rodrigo +2 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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Clustering Analysis Based on Hyper-graph Regularized Non-Negative Tensor Train Decomposition [PDF]
Jisuanji gongcheng, 2023 Non-negative Tensor Train（NTT） decomposition，as an important tensor decomposition model，can preserve the internal structure information of data and is widely used in feature extraction and representation tasks of high-dimensional data.
DAI Haolei, HUANG Yonghui, ZHOU Guoxu
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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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Some Geometric Properties of the Bakry-Emery-Ricci Tensor [PDF]
, 2003 The Bakry-Emery tensor gives an analog of the Ricci tensor for a Riemannian manifold with a smooth measure. We show that some of the topological consequences of having a positive or nonnegative Ricci tensor are also valid for the Bakry-Emery tensor.
Lott, John
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Accelerating block coordinate descent for nonnegative tensor factorization [PDF]
Numerical Linear Algebra with Applications, 2021 AbstractThis paper is concerned with improving the empirical convergence speed of block‐coordinate descent algorithms for approximate nonnegative tensor factorization (NTF). We propose an extrapolation strategy in‐between block updates, referred to as heuristic extrapolation with restarts (HER).
Man Shun Ang, Andersen +3 more
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