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UNSUPERVISED DATA DRIVEN MACHINE LEARNING IN HYPERSPECTRAL IMAGING AND ECHOCARDIOGRAPHY VIDEOS
(2021-05-06)
This work discusses the problem of unsupervised classification in images. Conventional methods approached this problem with the naive assumption that the relationship among the pixels' information can be expressed sufficiently ...
ADAPTIVE ACTIVATIONS AND SHIFT INVARIANCE IN SHALLOW CONVOLUTIONAL NEURAL NETWORKS
(2021-08-13)
Deep learning training training algorithms are a huge success in recent years in many fields including speech, text,image video etc. Deeper and deeper layers are proposed with huge success with resnet structures having ...