Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04444-x
Abstract: We propose a method for extending Kohonen’s self-organizing mapping to the geometric framework of the Grassmannian. The resulting algorithm serves as a prototype of the extension of the SOM to the setting of abstract manifolds.… read more here.
Keywords: data analysis; organizing mappings; applications data; self organizing ... See more keywords
Quantum Computing for Applications in Data Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3212026
Abstract: Quantum computing promises significant improvements of computation capabilities in various fields, such as machine learning and complex optimization problems. Rapid technological advancements suggest that adiabatic and gate base quantum computing may see practical applications in… read more here.
Keywords: fusion; quantum; computing applications; applications data ... See more keywords