Machine Learning Applications in Pattern Recognition
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 111
Special Issue Editor
Interests: image processing; pattern recognition; hyperspectral data analysis and processing; multi-source information fusion and application
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of pattern recognition has seen significant advancements in recent years largely due to the integration of machine learning techniques. Machine learning algorithms have enabled the development of more accurate and efficient pattern recognition systems across a wide range of applications, including image and speech recognition, biometrics, medical imaging, remote sensing, communication, and more.
This Special Issue aims to showcase the latest research and developments in the area of machine learning applications in pattern recognition. We invite researchers, academics, and practitioners to submit original research articles, reviews, and case studies that explore the use of machine learning algorithms in pattern recognition tasks. Extended conference papers are also welcome, but they should contain at least 50% of new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases.
Topics of interest include, but are not limited to, the following:
- Deep learning for pattern recognition;
- Feature selection and extraction techniques;
- Ensemble learning methods in pattern recognition;
- Transfer learning for pattern recognition;
- Supervised, unsupervised, and semi-supervised techniques;
- Applications of machine learning in biometrics;
- Machine learning approaches for medical image analyses;
- Pattern recognition in natural language processing;
- Machine learning approaches in remote sensing image analyses;
- Application of machine learning to communication systems;
- Ethical considerations in machine learning applications in pattern recognition;
- Machine learning for multi-source data fusion.
Dr. Xiaochen Lu
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. Computers 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 1800 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
- deep learning
- feature extraction
- ensemble learning
- transfer learning
- semi-supervised learning
- unsupervised learning
- biometrics
- medical imaging
- natural language processing
- data fusion
