DocumentCode
2708255
Title
Learning averages over the lie group of unitary matrices
Author
Fiori, Simone
Author_Institution
Dipt. di Ing. Biomedica, Elettron. e Telecomun., Univ. Politec. delle Marche, Ancona, Italy
fYear
2009
fDate
14-19 June 2009
Firstpage
833
Lastpage
837
Abstract
In the present paper, we treat the problem of learning averages out of a set of unitary matrices. We discuss a possible learning technique based on the differential geometrical properties of the Lie group of unitary matrices. We first recall some relevant notions from differential geometry, mainly related to Lie group theory, and then we propose a scheme for learning averages. Some numerical experiments will illustrate the features of the learnt averages.
Keywords
Lie algebras; Lie groups; differential geometry; learning (artificial intelligence); matrix algebra; Lie group theory; average learning; differential geometrical properties; differential geometry; learning technique; unitary matrices; Biomedical signal processing; Diversity reception; Holographic optical components; Holography; Nonlinear optics; Optical scattering; Particle scattering; Quantum computing; Radar scattering; Sensor arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5178714
Filename
5178714
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