Contractive rectifier networks for nonlinear maximum margin classification

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Contractive rectifier networks for nonlinear maximum margin classification

© 2015 IEEE. To find the optimal nonlinear separating boundary with maximum margin in the input data space, this paper proposes Contractive Rectifier Networks (CRNs), wherein the hidden-layer transformations are restricted to be contraction mappings. The contractive constraints ensure that the achie...

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Bibliographic Details
Main Authors:	An, Senjian, Hayat, M., Khan, S., Bennamoun, M., Boussaid, F., Sohel, F.
Format:	Conference Paper
Published:	2015
Online Access:	http://hdl.handle.net/20.500.11937/69913

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