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An active learning method based on Markov random fields for hyperspectral images classification., , , , и . WHISPERS, стр. 1-4. IEEE, (2015)Diversified deep structural metric learning for land use classification in remote sensing images., , , и . IGARSS, стр. 1676-1679. IEEE, (2017)Balanced data driven sparsity for unsupervised deep feature learning in remote sensing images classification., , и . IGARSS, стр. 668-671. IEEE, (2017)An investigation of effects of a non-repetitive preferred music on physiological responses amongst a group of chronic tinnitus patients., , , , , , , и . Biomed. Signal Process. Control., (августа 2023)Multi-task support vector machine with pinball loss., , , и . Eng. Appl. Artif. Intell., (2021)Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection., , и . Remote. Sens., 15 (19): 4675 (октября 2023)Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference., , , , и . Inf., 12 (3): 124 (2021)Spectral-spatial classification of hyperspectral images with Gaussian process., , , , , и . IGARSS, стр. 473-476. IEEE, (2016)Second-Order Cone Programming Formulations for Robust Multiclass Classification., и . Neural Comput., 19 (1): 258-282 (2007)Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification., , , , , и . IEEE Trans. Geosci. Remote. Sens., 58 (5): 3162-3177 (2020)