Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way-Reference-Cited by-同舟云学术

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Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way

Published:2022 Issue: Volume:70 Page:1704-1717
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Giampouras Paris V.¹^ORCID,Rontogiannis Athanasios A.²^ORCID,Kofidis Eleftherios³^ORCID

Affiliation:

1. Mathematical Institute for Data Science, Johns Hopkins University, Baltimore, MD, USA

2. School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

3. Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece

Funder

HyPPOCRATES

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09735405.pdf?arnumber=9735405

Reference36 articles.

1. Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation

2. The exponentiated generalized inverse Gaussian distribution

3. A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation

4. A Bayesian Approach to Block-Term Tensor Decomposition Model Selection and Computation

5. Alternating Iteratively Reweighted Least Squares Minimization for Low-Rank Matrix Factorization

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1. Hyperspectral Image Denoising by Jointly Using Variational Bayes Matrix Factorization and Deep Image Prior;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Robust Rank-Revealing Block-Term Decomposition and Hyperspectral Image Denoising;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Block-Term Tensor Decomposition in Array Signalprocessing;2024

4. Online rank-revealing block-term tensor decomposition;Signal Processing;2023-11

5. Enhanced Tensor Rank Learning in Bayesian PARAFAC2 for Noisy Irregular Tensor Data;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

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