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A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)., , , , , and . CoRR, (2017)Robust explicit nonlinear model predictive control with integral sliding mode., , , , and . ACC, page 2851-2856. IEEE, (2014)Robust state and unknown input estimation for nonlinear systems characterized by incremental multiplier matrices., , and . ACC, page 3270-3275. IEEE, (2017)Robust parameter identification with adaptive sparse grid-based optimization for nonlinear systems biology models., , and . ACC, page 5055-5060. IEEE, (2009)DYNAMIC DH-MBIR FOR PHASE-ERROR ESTIMATION FROM STREAMING DIGITAL-HOLOGRAPHY DATA., , , , and . ACSSC, page 784-788. IEEE, (2023)Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium., , , and . Allerton, page 1-5. IEEE, (2022)A Supervised Learning Approach for Dynamic Sampling., , , , , and . Computational Imaging, page 1-8. Society for Imaging Science and Technology, (2016)Massively Parallel Simulation of Cardiac Electrical Wave Propagation on Blue Gene., , , and . PARCO, volume 15 of Advances in Parallel Computing, page 609-616. IOS Press, (2007)Unknown Input Estimation for Nonlinear Systems Using Sliding Mode Observers and Smooth Window Functions., , , , and . SIAM J. Control. Optim., 56 (5): 3619-3641 (2018)Feasible parameter space characterization with adaptive sparse grids for nonlinear systems biology models., , and . ACC, page 2909-2914. IEEE, (2011)