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cs.LG2019
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data
Chang Min Hyun, Kang Cheol Kim, Hyun Cheol Cho +2
Machine learning-based analysis of medical images often faces several hurdles, such as the lack of training data, the curse of dimensionality problem, and the generalization issues…
cs.LG2019★ 1 cited
Improving learnability of neural networks: adding supplementary axes to disentangle data representation
Bukweon Kim, Sung Min Lee, Jin Keun Seo
Over-parameterized deep neural networks have proven to be able to learn an arbitrary dataset with 100 training accuracy. Because of a risk of overfitting and computational cost…