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E-Optimal Sensor Selection for Compressive Sensing-Based Purposes., , , , и . IEEE Trans. Big Data, 6 (1): 51-65 (2020)Rethinking the Combined and Individual Orders of Derivative of States for Differential Recurrent Neural Networks: Deep Differential Recurrent Neural Networks., , , и . ACM Trans. Multim. Comput. Commun. Appl., 15 (3): 83:1-83:21 (2019)Efficient semantic annotation method for indexing large personal video database., , , , , и . Multimedia Information Retrieval, стр. 289-296. ACM, (2006)Generalized Loss-Sensitive Adversarial Learning with Manifold Margins., и . ECCV (5), том 11209 из Lecture Notes in Computer Science, стр. 90-104. Springer, (2018)Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography., , , и . WACV, стр. 91-100. IEEE, (2019)Temporal Domain Neural Encoder for Video Representation Learning., , , , и . CVPR Workshops, стр. 2192-2199. IEEE Computer Society, (2017)Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods., и . IEEE Trans. Pattern Anal. Mach. Intell., 44 (4): 2168-2187 (2022)Contrastive Learning With Stronger Augmentations., и . IEEE Trans. Pattern Anal. Mach. Intell., 45 (5): 5549-5560 (мая 2023)Microsoft Research Asia TRECVID 2006 High-Level Feature Extraction and Rushes Exploitation., , , , , , , и . TRECVID, National Institute of Standards and Technology (NIST), (2006)Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting., , , и . KDD, стр. 987-995. ACM, (2017)