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Mathematical and Computational Methods for Image Processing and Pattern Recognition
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the mathematical foundations and advanced computational methodologies in the fields of image processing and pattern recognition. With the rapid evolution of intelligent computing paradigms, researchers are increasingly exploring mathematical principles and algorithmic frameworks for novel computational models, driving breakthroughs in core areas such as feature representation theory, model architecture design, and cross-modal learning mechanisms. The Issue aims to highlight the integration of mathematical theory and computational methods, establishing a solid theoretical and methodological foundation for advances in image processing and pattern recognition.
We invite submissions presenting original research on topics including, but not limited to, the following areas:
- Mathematical modeling and computational methods for image processing;
- Theoretical foundations and algorithmic innovations in pattern recognition;
- Theoretical analysis and performance evaluation of intelligent computing models;
- Cross-modal data representation and fusion methods;
- Applications of optimization theory in visual computing;
- Balancing computational efficiency and accuracy in complex scenarios;
- Theoretical foundations of novel neural network architectures;
- Theoretical advances in unsupervised and self-supervised learning.
The Special Issue will systematically present the latest research achievements in mathematical theories and computational methods for image processing and pattern recognition, providing critical support for theoretical and technological progress in the field. We cordially invite researchers from both academia and industry to contribute their innovative work and join us in promoting the theoretical and methodological advancement of the discipline.
Dr. Ting 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
- image processing
- pattern recognition
- visual computing
- data fusion
- mathematical modeling
- neural network
- deep learning
- machine learning
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