Titlebook: Independent Component Analysis and Blind Signal Separation; 6th International Co Justinian Rosca,Deniz Erdogmus,Simon Haykin Conference pro

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Shahram Hosseini,Rima Guidara,Yannick Deville,Christian Juttenndently, due to their different material characteristics. With this assumption, each layer can deform locally, this being a more accurate model for high-stress gradient areas..In each layer, transverse shear deformation is considered by the imposition of Mindlin-type kinematic relations. In the disp

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Patrik O. Hoyer,Shohei Shimizu,Aapo Hyvärinen,Yutaka Kano,Antti J. Kerminenirectional materials quadratic theories only appear to be well defined under tension-tension-shear conditions. For mats and fabrics adaptations of the early Norris theories fitted separately in each stress octant appear to be satisfactory. Failure theories only predict material failure as distinct f

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Mads Dyrholm,Scott Makeig,Lars Kai Hansenvidual sample values that may be lost due to compositing. This book presents statistical solutions to issues that arise in the context of applications of composite sampling..978-1-4614-2789-6978-1-4419-7628-4Series ISSN 2363-9660 Series E-ISSN 2363-9679

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