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Learning Deep Gradient Descent Optimization for Image Deconvolution
Gong, Dong, Zhang, Zhen, Shi, Qinfeng, van den Hengel, Anton, Shen, Chunhua, Zhang, Yanning
Published in IEEE transaction on neural networks and learning systems (01.12.2020)
Published in IEEE transaction on neural networks and learning systems (01.12.2020)
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AlphaGrad: Normalized Gradient Descent for Adaptive Multi-loss Functions in EEG-based Motor Imagery Classification
Chaisaen, Rattanaphon, Autthasan, Phairot, Ditthapron, Apiwat, Wilaiprasitporn, Theerawit
Published in IEEE journal of biomedical and health informatics (22.05.2025)
Published in IEEE journal of biomedical and health informatics (22.05.2025)
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Knot Tightening by Constrained Gradient Descent
Ashton, Ted, Cantarella, Jason, Piatek, Michael, Rawdon, Eric J.
Published in Experimental mathematics (01.01.2011)
Published in Experimental mathematics (01.01.2011)
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A Comparison of the Embedding Method With Multiparametric Programming, Mixed-Integer Programming, Gradient-Descent, and Hybrid Minimum Principle-Based Methods
Meyer, Richard T., Zefran, Milos, DeCarlo, Raymond A.
Published in IEEE transactions on control systems technology (01.09.2014)
Published in IEEE transactions on control systems technology (01.09.2014)
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