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Neural Computation

April 2008, Vol. 20, No. 4, Pages 1091-1117
Posted Online February 22, 2008.
(doi:10.1162/neco.2008.03-07-489)
© 2008 Massachusetts Institute of Technology

A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3)

Simone Fiori

Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Facoltà di Ingegneria, Università Politecnica delle Marche, I-60131 Ancona, Italy.

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Learning on differential manifolds may involve the optimization of a function of many parameters. In this letter, we deal with Riemannian-gradient-based optimization on a Lie group, namely, the group of unitary unimodular matrices SU(3). In this special case, subalgebras of the associated Lie algebra su(3) may be individuated by computing pair-wise Gell-Mann matrices commutators. Subalgebras generate subgroups of a Lie group, as well as manifold foliation. We show that the Riemannian gradient may be projected over tangent structures to foliation, giving rise to foliation gradients. Exponentiations of foliation gradients may be computed in closed forms, which closely resemble Rodriguez forms for the special orthogonal group SO(3). We thus compare optimization by Riemannian gradient and foliation gradients.

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Igor Aizenberg. (2010) Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. IEEE Transactions on Neural Networks 21:12, 1939-1949
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Simone Fiori, Toshihisa Tanaka. (2009) An Algorithm to Compute Averages on Matrix Lie Groups. IEEE Transactions on Signal Processing 57:12, 4734-4743
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S FIORI. (2008) Lie-group-type neural system learning by manifold retractions. Neural Networks
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