Machine Learning and Mathematical Methods in Computer Vision
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 306
Special Issue Editor
Interests: mathematical methods; machine learning; computer vision; image processing; object detection; multiple object tracking
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the intersection of machine learning and mathematical methods in computer vision, highlighting their vital role in enhancing the performance and reliability of visual data processing algorithms. Mathematical modeling provides a rigorous framework for addressing complex challenges in computer vision, enabling the development of robust and efficient algorithms that can analyze and interpret vast amounts of visual information. The synergy between machine learning techniques and mathematical principles not only fosters innovative approaches to existing problems but also encourages interdisciplinary collaborations, resulting in breakthroughs that can significantly advance the computer vision field.
We invite authors to contribute original research articles, reviews, and case studies that demonstrate novel applications of machine learning and mathematical methodologies in computer vision. Topics of interest include, but are not limited to, advanced mathematical techniques for image processing, model optimization, and novel machine learning architectures tailored for visual data analysis.
Should you have any questions or need an extension, please feel free to contact me directly. Your contributions will be invaluable in shaping the future of this dynamic and evolving field. Thank you for considering this opportunity, and we look forward to receiving your submissions.
Dr. Long Lan
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. 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
- mathematical methods
- machine learning
- computer vision
- image processing
- object detection
- multiple object tracking
- image segmentation
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