Ward identities and combinatorics of rainbow tensor models
Journal of High Energy Physics, 2017 We discuss the notion of renormalization group (RG) completion of non-Gaussian Lagrangians and its treatment within the framework of Bogoliubov-Zimmermann theory in application to the matrix and tensor models. With the example of the simplest non-trivial
H. Itoyama, A. Mironov, A. Morozov
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Detecting Foreground in Videos via Posterior Regularized Robust Bayesian Tensor Factorization
, 2023 Foreground detection is a critical step for separating the moving object from the background in video processing. Tensor factorization has been used in foreground detection due to its ability to process complex high-dimensional data, such as color images
Xia, Shenghao
core
Symmetric factorization of the conformation tensor in viscoelastic fluid models [PDF]
, 2010 1 online resource (PDF, 7 pages, includes illustrations)Balci, Nusret; Thomases, Becca; Renardy, Michael; Doering, Charles R.. (2010). Symmetric factorization of the conformation tensor in viscoelastic fluid models.
Becca Thomases +7 more
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Tensor Time Series Imputation Through Tensor Factor Modelling
Journal of EconometricsWe propose tensor time series imputation when the missing pattern in the tensor data can be general, as long as any two data positions along a tensor fibre are both observed for enough time points. The method is based on a tensor time series factor model with Tucker decomposition of the common component.
Zetai Cen, Clifford Lam
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ASTEN: An accurate and scalable approach to Coupled Tensor Factorization
, 2016 © 2016 IEEE. Coupled Tensor Factorization (CTF) has become one of the most popular methods for joint analysis of high dimensional data generated from multiple sources.
Do, Q, Quan Do, Liu, W, Wei Liu
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Non-negative tensor factorization workflow for time series biomedical data. [PDF]
STAR Protoc, 2023 Tsuyuzaki K +4 more
europepmc +1 more source
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors
CoRR, 2015 UAI (Uncertainty in Artificial Intelligence ...
Changwei Hu, Piyush Rai, Lawrence Carin
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Tensor network simulation of Shor’s algorithm for prime factorization [PDF]
openThis thesis explores the implementation and simulation of a scalable version of Shor’s algorithm for prime factorization. An acknowledged bottleneck in this algorithm lies in the modular exponentiation process. To address this challenge, we propose a
CAVION, ALESSANDRO
core
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. [PDF]
Int J Data Sci Anal, 2023 Balasubramaniam T +3 more
europepmc +1 more source
Exploring Neural Mechanisms of Reward Processing Using Coupled Matrix Tensor Factorization: A Simultaneous EEG-fMRI Investigation. [PDF]
Brain Sci, 2023 Liu Y, Zhang Y, Jiang Z, Kong W, Zou L.
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