Results 111 to 120 of about 36,142 (194)

Hankel Tensors: Associated Hankel Matrices and Vandermonde Decomposition

, 2014
Hankel tensors arise from applications such as signal processing. In this paper, we make an initial study on Hankel tensors. For each Hankel tensor, we associate it with a Hankel matrix and a higher order two-dimensional symmetric tensor, which we call ...
Qi, Liqun
core  

Discriminative and Distinct Phenotyping by Constrained Tensor Factorization

Scientific Reports, 2017
Adoption of Electronic Health Record (EHR) systems has led to collection of massive healthcare data, which creates oppor- tunities and challenges to study them.
Yejin Kim, Robert El-Kareh, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang   +4 more
doaj   +1 more source

Coseparable Nonnegative Tensor Factorization with t-CUR Decomposition

SIAM Journal on Matrix Analysis and Applications
Nonnegative Matrix Factorization (NMF) is an important unsupervised learning method to extract meaningful features from data. To address the NMF problem within a polynomial time framework, researchers have introduced a separability assumption, which has recently evolved into the concept of coseparability.
Juefei Chen, Longxiu Huang, Yimin Wei
openaire   +3 more sources

Classification of Copper Minerals by Handheld Laser-Induced Breakdown Spectroscopy and Nonnegative Tensor Factorisation. [PDF]

Sensors (Basel), 2020
Wójcik M, Brinkmann P, Zdunek R, Riebe D, Beitz T, Merk S, Cieślik K, Mory D, Antończak A.   +8 more
europepmc   +1 more source

Sparseness-constrained nonnegative tensor factorization for detecting topics at different time scales

Frontiers in Applied Mathematics and Statistics
Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and clearly locate them in time.
Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova, Jiahong Yuan   +6 more
doaj   +1 more source

Plastic tensor networks for interpretable generative modeling

Machine Learning: Science and Technology
A structural optimization scheme for a single-layer nonnegative adaptive tensor tree (NATT) that models a target probability distribution is proposed as an alternative paradigm for generative modeling.
Katsuya O Akamatsu, Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima   +3 more
doaj   +1 more source

Polynomial Approximation on Unbounded Subsets and the Markov Moment Problem

International Journal of Analysis and Applications, 2013
We start this review paper by recalling some known and relatively recent results in polynomial approximation on unbounded subsets. These results allow approximation of nonnegative continuous functions with compact support contained in the first quadrant ...
Octav Olteanu
doaj   +2 more sources

Detecting memberships in multiplex networks via nonnegative matrix factorization and tensor decomposition

New Journal of Physics
Multiplex networks provide a powerful data structure for capturing diverse relationships among nodes, and the challenge of community detection within these networks has recently attracted considerable attention.
Fengqin Tang, Xiaozong Wang, Xuejing Zhao, Chunning Wang   +3 more
doaj   +1 more source

An L1-and-L2-regularized nonnegative tensor factorization for power load monitoring data imputation

Frontiers in Energy Research
As smart grid advance, Power Load Forecasting (PLF) has become a research hotspot. As the foundation of the forecasting model, the Power Load Monitoring (PLM) data takes on great importance due to its completeness, reliability and accuracy.
Xing Luo, Zijian Hu, Zhoujun Ma, Zhan Lv, Qu Wang, Aoling Zeng   +5 more
doaj   +1 more source

Spectral theory of nonnegative tensors [PDF]

Frontiers of Mathematics in China, 2013
Yang, Q., Zhang, L., Zhang, T., Zhou, Guanglu   +3 more
openaire   +2 more sources