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Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing.

, , , and . IEEE Trans. Geosci. Remote. Sens., 57 (12): 9858-9877 (2019)

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Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects., and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 930-938. JMLR.org, (2016)Adaptive ADMM with Spectral Penalty Parameter Selection., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 718-727. PMLR, (2017)Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning., , , and . ICLR (Poster), OpenReview.net, (2018)Similarity-Based Clustering of Sequences Using Hidden Markov Models., , and . MLDM, volume 2734 of Lecture Notes in Computer Science, page 86-95. Springer, (2003)A Generative Dyadic Aspect Model for Evidence Accumulation Clustering., , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 104-116. Springer, (2011)Discriminative model selection for object motion recognition., , and . ICIP, page 3953-3956. IEEE, (2010)Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications., , and . ICIP (3), page 197-200. IEEE, (2007)Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization., and . ICIP (1), page 105-108. IEEE, (2007)Total variation restoration of speckled images using a split-bregman algorithm., and . ICIP, page 3717-3720. IEEE, (2009)Blind image deblurring using class-adapted image priors., and . ICIP, page 490-494. IEEE, (2017)