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eess.SP2022
Optimal Compression for Minimizing Classification Error Probability: an Information-Theoretic Approach
Jingchao Gao, Ao Tang, Weiyu Xu
We formulate the problem of performing optimal data compression under the constraints that compressed data can be used for accurate classification in machine learning. We show that…
eess.IV2022
A deep learning network with differentiable dynamic programming for retina OCT surface segmentation
Hui Xie, Weiyu Xu, Xiaodong Wu
Multiple-surface segmentation in Optical Coherence Tomography (OCT) images is a challenge problem, further complicated by the frequent presence of weak image boundaries. Recently,…