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Super-resolution for Natural Images and Magnetic Resonance Images.. Arizona State University, Tempe, USA, (2020)base-search.net (ftarizonastateun:item:63001).Convex dictionary learning for single image super-resolution., , и . ICIP, стр. 4058-4062. IEEE, (2017)Improving Robustness of Random Forest Under Label Noise., , и . WACV, стр. 950-958. IEEE, (2019)Improving Batch Normalization with Skewness Reduction for Deep Neural Networks., , и . ICPR, стр. 7165-7172. IEEE, (2020)Training Neural Networks by Using Power Linear Units (PoLUs)., , и . CoRR, (2018)Accurate single image super-resolution using multi-path wide-activated residual network., , , и . Signal Process., (2020)Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval., , и . CoRR, (2018)Strategies for Re-Training a Pruned Neural Network in an Edge Computing Paradigm., , , и . EDGE, стр. 244-247. IEEE Computer Society, (2017)Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI., , , , , , и . AIiH (2), том 14976 из Lecture Notes in Computer Science, стр. 48-63. Springer, (2024)Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition., , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109490F. SPIE, (2019)