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Shapely value based random subspace selection for hyperspectral image classification., , и . IGARSS, стр. 4975-4978. IEEE, (2015)S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition., , и . ICASSP, стр. 2128-2132. IEEE, (2020)Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters., и . IEEE Geosci. Remote. Sens. Lett., 8 (6): 1060-1064 (2011)Projection-based adaptive anomaly detection for hyperspectral imagery., , и . ICIP (1), стр. 1001-1004. IEEE, (2003)Optimal sparse kernel learning for hyperspectral anomaly detection., , , и . WHISPERS, стр. 1-4. IEEE, (2013)Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification., , и . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (6): 2354-2364 (2016)UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception., , , , и . CoRR, (2023)Real-time Face Tracking Based on a Configurable Ensemble of Detectors., , , , и . IEEECONF, стр. 339-343. IEEE, (2022)NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery., , , , , , и . ICIP, стр. 2720-2724. IEEE, (2023)SENSE: Semantically Enhanced Node Sequence Embedding., , , , , , и . IEEE BigData, стр. 665-670. IEEE, (2019)