Persistent-homology-based Machine Learning
A suitable feature representation that can both preserve the data intrinsic information and reduce data complexity and dimensionality is key to the performance of machine learning models.
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Blue Brain Project
Prof Hess uses dimension reduction to represent the tangle of neurons in the brain by a graph or network. This directed network provides a simplified structure of brain function.
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