Graph transform learning

Beck, 2009, A fast iterative shrinkage-thresholding algorithm for linear inverse problems, SIAM Journal on Imaging Sciences, 2, 183, 10.1137/080716542 Buades, 2011, Non-local means denoising, Image Processing On Line, 1, 208, 10.5201/ipol.2011.bcm_nlm Chen, 2017, Graph regularized restricted Boltzmann machine, IEEE Transactions on Neural Networks and Learning Systems, 29, 2651, 10.1109/TNNLS.2017.2692773 Elhamifar, 2013, Sparse subspace clustering: Algorithm, theory, and applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 2765, 10.1109/TPAMI.2013.57 Guo, 2016, Discriminative analysis dictionary learning Kalofolias, 2016, How to learn a graph from smooth signals, 920 Kampffmeyer, 2019, Deep divergence-based approach to clustering, Neural Networks, 113, 91, 10.1016/j.neunet.2019.01.015 Lewis, 2018, Solving inverse problems in imaging via deep dictionary learning, IEEE Access, 7, 37039, 10.1109/ACCESS.2018.2881492 Li, 2016, Graph regularized non-negative low-rank matrix factorization for image clustering, IEEE Transactions on Cybernetics, 47, 3840, 10.1109/TCYB.2016.2585355 Li, 2018, Manifold optimization-based analysis dictionary learning with an ℓ1∕ 2-norm regularizer, Neural Networks, 98, 212, 10.1016/j.neunet.2017.11.015 Liu, 2018, Manifold regularized matrix completion for multi-label learning with ADMM, Neural Networks, 101, 57, 10.1016/j.neunet.2018.01.011 Maggu, 2017, Kernel transform learning, Pattern Recognition Letters, 98, 117, 10.1016/j.patrec.2017.09.002 Maggu, 2019, Supervised kernel transform learning, 1 Maggu, 2019, Transformed subspace clustering Majumdar, 2018, Blind denoising autoencoder, IEEE Transactions on Neural Networks and Learning Systems, 30, 312, 10.1109/TNNLS.2018.2838679 Majumdar, 2018, Graph structured autoencoder, Neural Networks, 106, 271, 10.1016/j.neunet.2018.07.016 Nagpal, S., Singh, M., Singh, R., Vatsa, M., Noore, A., & Majumdar, A. (2017). Face sketch matching via coupled deep transform learning. In Proceedings of the IEEE international conference on computer vision (pp. 5419-5428). Peng, 2016, Deep subspace clustering with sparsity prior, 1925 Quan, 2018, Compressed sensing MRI reconstruction using a generative adversarial network with a cyclic loss, IEEE Transactions on Medical Imaging, 37, 1488, 10.1109/TMI.2018.2820120 Ravishankar, 2012, Learning sparsifying transforms, IEEE Transactions on Signal Processing, 61, 1072, 10.1109/TSP.2012.2226449 Ravishankar, 2013, Closed-form solutions within sparsifying transform learning, 5378 Ravishankar, 2013, Sparsifying transform learning for compressed sensing MRI, 17 Shekhar, 2014, Analysis sparse coding models for image-based classification, 5207 Thanou, 2014, Learning parametric dictionaries for signals on graphs, IEEE Transactions on Signal Processing, 62, 3849, 10.1109/TSP.2014.2332441 Wen, 2015, Video denoising by online 3D sparsifying transform learning, 118 Wu, 2019 Yankelevsky, 2018, Dictionary learning for high dimensional graph signals, 4669