What is it about?
Between-class loss and within-class loss for deep network optimization
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Why is it important?
Ability to learn even when all training examples are correctly classified
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This page is a summary of: Mixture separability loss in a deep convolutional network for image classification, IET Image Processing, October 2018, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-ipr.2018.5613.
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