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Multigranularity Multiclass-Layer Markov Random Field Model for Improving Remote Sensing Image Classification.

, , , , and . HPCC/DSS/SmartCity/DependSys, page 1939-1945. IEEE, (2021)

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Multi-Layer Terahertz Imaging of Non-Overlapping Contents., , , and . SAM, page 652-656. IEEE, (2018)Principal subspace estimation for low-rank Toeplitz covariance matrices with binary sensing., and . ACSSC, page 1344-1348. IEEE, (2016)Multigranularity Multiclass-Layer Markov Random Field Model for Improving Remote Sensing Image Classification., , , , and . HPCC/DSS/SmartCity/DependSys, page 1939-1945. IEEE, (2021)High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Features., , , , , and . PRCV (3), volume 13536 of Lecture Notes in Computer Science, page 497-509. Springer, (2022)Compressive spectrum estimation using quantized measurements., and . ACSSC, page 686-690. IEEE, (2017)Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images., , , , and . IGARSS, page 9819-9822. IEEE, (2024)Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks., , and . ISIT, page 1972-1976. IEEE, (2019)Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression., , and . CoRR, (2018)Subspace Learning From Bits., and . IEEE Trans. Signal Process., 65 (17): 4429-4442 (2017)Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference., , , , and . ICASSP, page 3394-3398. IEEE, (2018)