Trends in Machine Learning for Visual Computing
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: closed (7 April 2019)
Special Issue Editor
Interests: computational intelligence; machine learning; computer vision; pattern recognition; image processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As we are converging towards the Industry 4.0 framework, the applications involving smart devices with vision capabilities are increasing rapidly. In addition to Industry 4.0, all devices requiring intelligent applications are also welcome. Those devices are making use of emerged machine learning algorithms, which analyze the visual content of real scenes in a variety of environments. In this context, modern vision devices, e.g., cameras, microscopes, etc., are able to capture high resolution images and to provide vast information that needs to be analyzed in real-time for commercial and scientific purposes. This Special Issue aims to record recent trends in the machine learning research field where the data source is any kind of vision device.
Prof. Dr. George A. Papakostas
Guest Editor
Manuscript Submission Information
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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. Journal of Imaging 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
- object tracking, recognition
- medical imaging analysis/understanding
- intelligent vehicle vision systems
- video surveillance
- visual monitoring systems
- robot vision
- machine vision
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