Tensor Decompositions and Tensor Networks: New Methods and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: closed (7 February 2024) | Viewed by 671
Special Issue Editors
Interests: tensor decomposition; randomized algorithms; cross approximations
Interests: multilinear algebra; tensor computation; tensor networks; nonlinear system; blind source separation; brain–computer interface.
Special Issue Information
Dear Colleagues,
Tensor decompositions and tensor networks are effective methods for processing multidimensional data. They are particularly useful for compressing and reducing data tensors while preserving their natural multidimensional structure. Tensor decompositions and tensor networks have been effectively used in numerous applications including signal processing, machine learning, blind source separation, chemometrics, feature extraction/selection and deep learning.
In this Special Issue of Mathematics, we are looking for high-quality research or review papers on these topics. The primary focus is on, but not limited to, recent advances in tensor computations and fast algorithms for the computation of different types of tensor decompositions or their constrained forms. We are also interested in novel applications of tensor methods in data science and machine learning, but we welcome any other tensor decomposition-related, mathematically fascinating developments.
Dr. Salman Ahmadi-Asl
Prof. Dr. Anh-Huy Phan
Dr. Valentin Leplat
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- tensor decomposition
- tensor networks
- non-negative tensor decomposition
- cross tensor approximation
- fast randomized algorithms for tensor decomposition
- tensor decompositions for machine learning and data science applications
- tensor completion
- data compression via tensor methods
- tensor-based classification and clustering methods
- iterative methods for multilinear systems of equations
- tensor methods for deep learning and computer vision
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
