Results 11 to 20 of about 36,142 (194)
Uniqueness of Nonnegative Tensor Approximations [PDF]
IEEE Transactions on Information Theory, 2016 We show that for a nonnegative tensor, a best nonnegative rank-r approximation is almost always unique, its best rank-one approximation may always be chosen to be a best nonnegative rank-one approximation, and that the set of nonnegative tensors with non-
Comon, Pierre, Lim, Lek-Heng, Qi, Yang
core +8 more sources
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
doaj +2 more sources
Nonnegative approximations of nonnegative tensors [PDF]
Journal of Chemometrics, 2009 We study the decomposition of a nonnegative tensor into a minimal sum of outer product of nonnegative vectors and the associated parsimonious naive Bayes probabilistic model.
Comon, Pierre, Lim, Lek-Heng
core +8 more sources
Strictly nonnegative tensors and nonnegative tensor partition [PDF]
Science China Mathematics, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Shenglong +2 more
openaire +4 more sources
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
doaj +2 more sources
Semialgebraic Geometry of Nonnegative Tensor Rank [PDF]
SIAM Journal on Matrix Analysis and Applications, 2016 25 pages, to appear in ...
Qi, Yang, Comon, Pierre, Lim, Lek-Heng
openaire +6 more sources
Nonnegative Tensor Factorization, Completely Positive Tensors and an Hierarchical Elimination Algorithm [PDF]
SIAM Journal on Matrix Analysis and Applications, 2013 Nonnegative tensor factorization has applications in statistics, computer vision, exploratory multiway data analysis and blind source separation. A symmetric nonnegative tensor, which has a symmetric nonnegative factorization, is called a completely ...
Qi, Liqun, Xu, Changqing, Xu, Yi
core +3 more sources
Nonnegative Tensor CP Decomposition of Hyperspectral Data [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2016 New hyperspectral missions will collect huge amounts of hyperspectral data. In addition, it is possible now to acquire time series and multiangular hyperspectral images. The process and analysis of these big data collections will require common hyperspectral techniques to be adapted or reformulated.
Veganzones, Miguel Angel +4 more
openaire +5 more sources
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
doaj +1 more source
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
doaj +1 more source