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How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?, , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 514-523. JMLR.org, (2015)SkeletonNet: Mining Deep Part Features for 3-D Action Recognition., , , , и . IEEE Signal Process. Lett., 24 (6): 731-735 (2017)Untrained Neural Network Priors for Inverse Imaging Problems: A Survey., , , , , и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (5): 6511-6536 (мая 2023)SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification., , , , , , и . Remote. Sens., 14 (17): 4288 (2022)Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation., , , , , и . ICCV, стр. 6964-6973. IEEE, (2021)Extended Expectation Maximization for Under-Fitted Models., , , и . ICASSP, стр. 1-5. IEEE, (2023)Growth and evolution of deep neural networks from gene regulatory networks., , и . GECCO Companion, стр. 275-276. ACM, (2021)A Novel Local Surface Description for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes., , , и . ICCV Workshops, стр. 638-643. IEEE Computer Society, (2013)Contractive Rectifier Networks for Nonlinear Maximum Margin Classification., , , , , и . ICCV, стр. 2515-2523. IEEE Computer Society, (2015)A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection., , , , и . ISCAS, стр. 1866-1869. IEEE, (2016)