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View variations effect in gait recognition and performance improvement using fusion., , , и . RAIT, стр. 892-896. IEEE, (2012)Convergence rates for pretraining and dropout: Guiding learning parameters using network structure., , и . CoRR, (2015)Robust Blind Deconvolution via Mirror Descent., , и . CoRR, (2018)Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty., , и . CoRR, (2018)On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging., , , , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 99-111. Springer, (2019)Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains., , , и . CoRR, (2019)Online Graph Completion: Multivariate Signal Recovery in Computer Vision., , , , и . CoRR, (2020)FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret., , , и . ECCV (12), том 12357 из Lecture Notes in Computer Science, стр. 365-381. Springer, (2020)BIDEAL: A Toolbox for Bicluster Analysis - Generation, Visualization and Validation., , , , , и . SN Comput. Sci., 2 (1): 24 (2021)Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia., , , , , , , и . Comput. Electron. Agric., (2020)