Geometric Bioinspired Networks for Recognition of 2-D and 3-D Low-Level Structures and Transformations

IEEE Transactions on Neural Networks and Learning Systems
Eduardo Jose Bayro-CorrochanoEfrain Castillo-Munis

Abstract

This paper presents the design of radial basis function geometric bioinspired networks and their applications. Until now, the design of neural networks has been inspired by the biological models of neural networks but mostly using vector calculus and linear algebra. However, these designs have never shown the role of geometric computing. The question is how biological neural networks handle complex geometric representations involving Lie group operations like rotations. Even though the actual artificial neural networks are biologically inspired, they are just models which cannot reproduce a plausible biological process. Until now researchers have not shown how, using these models, one can incorporate them into the processing of geometric computing. Here, for the first time in the artificial neural networks domain, we address this issue by designing a kind of geometric RBF using the geometric algebra framework. As a result, using our artificial networks, we show how geometric computing can be carried out by the artificial neural networks. Such geometric neural networks have a great potential in robot vision. This is the most important aspect of this contribution to propose artificial geometric neural networks for challenging tas...Continue Reading

References

Jan 1, 1996·Journal of Inherited Metabolic Disease·T A KovesiM J Phillips
Mar 31, 1999·Trends in Biotechnology·L BülowJ E Bailey
Mar 1, 1997·Neural Networks : the Official Journal of the International Neural Network Society·M G. XibiliaP Arena
May 25, 2005·International Journal of Neural Systems·Mitsuo YoshidaTakehiro Mori
Aug 27, 2005·Medical Physics·Johann B HummelRamin Shahidi
Mar 14, 2007·Medical Image Analysis·Kumar T RajamaniMiguel A González Ballester
Feb 6, 2008·IEEE Transactions on Neural Networks·E J Bayro-Corrochano
Jan 1, 1991·IEEE Transactions on Neural Networks·D F Specht
Sep 30, 2010·IEEE Transactions on Neural Networks·Eduardo Jose Bayro-Corrochano, Nancy Arana-Daniel
Aug 21, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Luming ZhangQi Tian

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Citations

Jun 11, 2017·IEEE Transactions on Neural Networks and Learning Systems·Zhao-Rong LaiKe-Kun Huang

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