9th International Conference on Machine Vision and Machine Learning (MVML’23)
August 3, 2023
August 5, 2023
Brunel University, London, United Kingdom
The 9th International Conference on Machine Vision and Machine Learning (MVML'23) will be delivered in-person in London, United Kingdom and virtually, providing the opportunity of online presentation for the people who can not travel for any reason. Attendees will be able to connect with researchers from across the globe and network in-person or virtually. The registration fee for virtual participation is reduced.
The Conference Proceedings will be published with an ISSN and ISBN, indexed in Scopus and Google Scholar, and archived permanently in Portico.
The 9th International Conference on Machine Vision and Machine Learning (MVML’23) aims to become the leading annual conference in fields related to machine vision and machine learning. The goal of this machine learning conference 2023 is to gather scholars from all over the world to present advances in the relevant fields and to foster an environment conducive to exchanging ideas and information. This conference will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields.
MVML is an acronym for Machine Vision and Machine Learning.
Topics for MVML’23 include, but are not limited, to the following:
- Artificial Intelligence for Machine Vision
- Face, Gesture, and Action Recognition
- Pattern Recognition
All submissions accepted as posters will be presented orally by the authors for 5 minutes
Paper Submission Deadlines
Notification to Authors
Submissions in the form of extended abstracts, short papers, and full manuscripts are welcome.
- all submitted papers will be peer-reviewed
- the congress proceedings will be published under an ISSN and ISBN number
- the conference proceedings will be indexed by Scopus, Elsevier and Google Scholar
- each paper will be assigned a unique DOI number by Crossref
- the proceedings will be permanently archived in Portico (one of the largest community-supported digital archives in the world).
- selected papers from the congress will be submitted for possible publication in the Journal…
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