Dzati Athiar Ramli, Tan Wan Chien, “Fast Kernel Sparse Representation Classifier using Improved Smoothed- l 0 Norm”, Procedia Computer Science, 112, 2017, 494
Justin P. Haldar, Daeun Kim, “OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI”, IEEE Trans. Med. Imaging, 38, no. 7, 2019, 1545
Jungang Yang, Tian Jin, Xiaotao Huang, “Compressed Sensing Radar Imaging With Magnitude Sparse Representation”, IEEE Access, 7, 2019, 29722
B. Jian, B.C. Vemuri, “A Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI”, IEEE Trans. Med. Imaging, 26, no. 11, 2007, 1464
Farrukh Hafeez, Usman Ullah Sheikh, Asif Iqbal, Muhammad Naveed Aman, “Incoherent and Online Dictionary Learning Algorithm for Motion Prediction”, Electronics, 11, no. 21, 2022, 3525
Raymond Ptucha, Grigorios Tsagkatakis, Andreas Savakis, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011, 2136
Lufeng Liu, Xinpeng Du, Lizhi Cheng, “Stable Signal Recovery via Randomly Enhanced Adaptive Subspace Pursuit Method”, IEEE Signal Process. Lett., 20, no. 8, 2013, 823
Sofie Therese Hansen, Lars Kai Hansen, “Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior”, NeuroImage, 148, 2017, 274
J.D. Jakeman, M.S. Eldred, K. Sargsyan, “Enhancing ℓ1-minimization estimates of polynomial chaos expansions using basis selection”, Journal of Computational Physics, 289, 2015, 18
Kai Labusch, Erhardt Barth, Thomas Martinetz, “Sparse Coding Neural Gas: Learning of overcomplete data representations”, Neurocomputing, 72, no. 7-9, 2009, 1547