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Memory-Efficient Convex Optimization for Self-Dictionary Nonnegative Matrix Factorization.

, , and . IEEECONF, page 1372-1376. IEEE, (2022)

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Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation., , , and . CoRR, (2019)The IMC-PID controller design for TITO process using closed-loop identification method., , and . ICARCV, page 1339-1344. IEEE, (2014)Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix Estimation., , , and . IEEE Trans. Geosci. Remote. Sens., 58 (10): 7125-7140 (2020)Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach., , and . IEEE Trans. Signal Process., (2022)A Simple Scheme for Coupled Factorization for Hyperspectral Super-Resolution: Exploiting Sparsity in an Easy Way., , , and . ICASSP, page 1-5. IEEE, (2023)A stochastic maximum-likelihood framework for simplex structured matrix factorization., , and . ICASSP, page 2557-2561. IEEE, (2017)Application of the fuzzy gain scheduling IMC-PID for the boiler pressure control., , and . FUZZ-IEEE, page 682-688. IEEE, (2014)Fast depth image denoising and enhancement using a deep convolutional network., and . ICASSP, page 2499-2503. IEEE, (2016)Maximum Volume Inscribed Ellipsoid: A New Simplex-Structured Matrix Factorization Framework via Facet Enumeration and Convex Optimization., , , , and . SIAM J. Imaging Sci., 11 (2): 1651-1679 (2018)A Convex Low-Rank Regularization Method for Hyperspectral Super-Resolution., , , and . SSP, page 383-387. IEEE, (2018)