New Trends on Pattern Recognition and Computer Vision, Applications and Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (28 November 2021) | Viewed by 26719
Special Issue Editors
Interests: pattern recognition; computer vision; biometrics; visual surveillance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in Pattern Recognition have been boosting the development of intelligent applications for many different kinds of industries/domains. Such solutions are not only seamlessly integrated in the environment, but typically have large adaptability for unexpected conditions, which increases their usefulness for real-world problems.
The New Trends on Pattern Recognition, Applications and Systems special issue aims to collect the latest approaches and findings, as well as to discuss the current challenges of Pattern recognition solutions for a broad range of applications. We expect this special issue addresses the research issues in the closely related areas of Pattern Recognition, such as Machine Learning, Data Mining, Computer Vision and Image Processing. We encourage the interdisciplinary research and applications of these areas.
We welcome high-quality submissions with important new theories, methods, applications, and systems in emerging topics of pattern recognition. The topics of interest include, but are not limited to:
- Interpretable Machine Learning for Computer Vision;
- Automated Deep Learning, including one or multiple stages of the machine learning process (e.g., data pre-processing, network architecture selection, hyper-parameter optimisation);
- Zero-shot learning applied to real-world problems, such as Medical Imaging or Autonomous Systems;
- Neural Rendering, including any approach using deep generative models for the generation of photo-realistic virtual data;
- Autonomous Driving, including novel methods for object detection, object classification, object tracking and prediction of movement;
- Semi-supervised, Weakly-supervised and Unsupervised learning frameworks for Pattern Recognition systems;
- Real-time Pattern Recognition applications;
- Multi-modal solutions for Pattern Recognition problems;
- Signal processing for Pattern Recognition solutions;
- Ethics/Privacy issues in deploying Pattern Recognition-based systems;
- Benchmarks of current Pattern Recognition-based solutions for real-world problems;
Prof. Dr. Hugo Pedro Proença
Prof. Dr. João C. Neves
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. Applied Sciences 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 2400 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
- Machine Learning
- Computer Vision
- Medical Imaging
- object detection
- object classification
- Pattern Recognition systems
- Signal processing
- Autonomous Driving
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.