Robust regression using sparse learning for high dimensional parameter estimation problems
暂无分享,去创建一个
[1] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[2] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[3] Bhaskar D. Rao,et al. Sparse Bayesian learning for basis selection , 2004, IEEE Transactions on Signal Processing.
[4] Michael Elad,et al. Stable recovery of sparse overcomplete representations in the presence of noise , 2006, IEEE Transactions on Information Theory.
[5] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[6] Charles V. Stewart,et al. Robust Parameter Estimation in Computer Vision , 1999, SIAM Rev..
[7] Peter J. Rousseeuw,et al. Robust regression and outlier detection , 1987 .
[8] Emmanuel J. Candès,et al. Highly Robust Error Correction byConvex Programming , 2006, IEEE Transactions on Information Theory.
[9] Andrew Zisserman,et al. MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..
[10] B. Ripley,et al. Robust Statistics , 2018, Wiley Series in Probability and Statistics.
[11] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.