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Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs., , и . AISTATS, том 33 из JMLR Workshop and Conference Proceedings, стр. 122-130. JMLR.org, (2014)Data-Brain Driven Documents Ranking for Constructing Brain Informatics Provenances., , , и . Brain Informatics and Health, том 8609 из Lecture Notes in Computer Science, стр. 198-207. Springer, (2014)Data-Brain driven systematic human brain data analysis: A case study in numerical inductive reasoning centric investigation., , и . Cogn. Syst. Res., (2012)Data-Brain driven multi-aspect mining process planning., и . IJCNN, стр. 1-4. IEEE, (2010)Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees., , , , и . CVPR, стр. 4688-4696. IEEE Computer Society, (2016)Low-Rank and Sparse Multi-task Learning., , и . Low-Rank and Sparse Modeling for Visual Analysis, Springer, (2014)Sports Camera Calibration via Synthetic Data., и . CoRR, (2018)Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data., , , и . Int. J. Inf. Technol. Decis. Mak., 18 (4): 1359-1378 (2019)The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night., , , и . IEEE Robotics Autom. Lett., 2 (4): 2188-2193 (2017)Reliability Modeling for Sparsely Connected Homogeneous Multistate Consecutive-k-Out-of-n: GSystems., , и . IEEE Trans. Syst. Man Cybern. Syst., 51 (3): 1844-1854 (2021)