Titlebook: Supervised Learning with Complex-valued Neural Networks; Sundaram Suresh,Narasimhan Sundararajan,Ramasamy S Book 2013 Springer-Verlag Berl

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Sundaram Suresh,Narasimhan Sundararajan,Ramasamy Savitha propose the use of ASP to drive DL approaches in performing semantic segmentation of medical images. Specifically, we encoded prior medical knowledge via ASP, thus defining a rule-based model for deducting all admitted combinations of classes and right locations in medical images. The results of an

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Sundaram Suresh,Narasimhan Sundararajan,Ramasamy Savitha

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Supervised Learning with Complex-valued Neural Networks

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1860-949X rs and engineers working in the areas of neural networks, co.Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals ca

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