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cs.CV2022
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning
Qinji Yu, Kang Dang, Ziyu Zhou +2
Deep-learning-based approaches for retinal lesion segmentation often require an abundant amount of precise pixel-wise annotated data. However, coarse annotations such as circles or…
stat.ML2022★ 1 cited
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding, Rong Ma
We propose a kernel-spectral embedding algorithm for learning low-dimensional nonlinear structures from high-dimensional and noisy observations, where the datasets are assumed to b…