Special Issue "Symmetry in Pattern Recognition"
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer Science and Symmetry/Asymmetry".
Deadline for manuscript submissions: closed (27 February 2023) | Viewed by 9499
Special Issue Editor
Interests: face recognition; image/video processing; statistical pattern recognition; deep learning; human-computer interaction and radar target recognition
Special Issue Information
Dear Colleagues,
Symmetry is ubiquitous from subatomic particles to natural patterns, man-made design, art, and mathematics. This Special Issue aims to demonstrate: 1) how pattern recognition algorithms have specially contributed, and are contributing, to datasets and tasks which have the characteristic of symmetry; and 2) how symmetrically-designed pattern recognition algorithms are advantageous to some domain-specific tasks.
The editors hope to collect about 10 research/review papers which report the recent developments on symmetry in the field of visual recognition, visual understanding, image/video processing, natural language processing, or any other areas on pattern recognition. For example, many symmetric deep convolutional neural networks, such as UNet, auto-encoder, and generative adversarial network, have a symmetric network design.
We are soliciting contributions which cover a broad range of topics on symmetry in pattern recognition, including (but not limited to) the following:
- symmetric pattern analysis;
- symmetric learning frameworks;
- symmetry in deep convolutional neural networks;
- symmetry in loss functions;
- data (im)balance;
- other symmetry analysis.
Submit your paper and select the Journal “Symmetry” and the Special Issue “Symmetry in Pattern Recognition” via: MDPI submission system. Please contact the journal editor Ida Li. Our papers will be published on a rolling basis and we will be pleased to receive your submission once you have finished it.
Prof. Dr. Jianfeng Ren
Guest Editor
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. Symmetry is an international peer-reviewed open access monthly 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 2000 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
- symmetric pattern analysis
- symmetric learning framework
- symmetry in deep convolutional neural network
- symmetry in loss function
- data balance/imbalance
- visual recognition
- visual understanding
- image/video processing
- natural language processing
- pattern recognition