Machine Learning in Computational Geometry
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Analysis of Algorithms and Complexity Theory".
Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 9521
Special Issue Editors
Interests: data management for smart city governance; artificial intelligence for smart cities; big data in the context of urban sustainability; machine learning for advanced digital manufacturing
Special Issues, Collections and Topics in MDPI journals
Interests: data structures; information retrieval; data mining; bioinformatics; string algorithmic; computational geometry; multimedia databases; internet technologies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational geometry is a discipline of computer science devoted to the study of problems which can be stated in terms of geometric objects, such as points, lines, circles, and other structures in geometric spaces.
Machine learning concerns techniques that can learn from and make predictions on data. Such techniques and algorithms are built to explore the useful pattern of the input data, which usually can be stated in terms of geometry (e.g., problems in a high-dimensional feature space). Hence, computational geometry plays a crucial and natural role in machine learning. Importantly, geometric algorithms often come with quality guaranteed solutions when dealing with high-dimensional data.
This Special Issue is particularly interested in applications of geometric algorithms in machine learning, both in theory, algorithms, and applications. We are soliciting research and review articles covering a wide range of topics on computational geometry, including (though not limited to) the following:
- Design, analysis and computational complexity of geometric algorithms;
- Discrete and combinatorial geometry;
- Computational topology;
- Geographic information systems;
- Applications of computational geometry in any field.
Dr. Andreas Kanavos
Dr. Christos Makris
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. Algorithms 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 1600 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
- computational geometry
- algorithmic geometry
- numerical computational geometry
- geometric modeling
- geometric algorithms
- computational complexity of geometric problems
- discrete and combinatorial geometry
- computational topology
- combinatorial optimization
- graph drawing
