Self-adaptive node-based PCA encodings

Leonard Johard, Victor Rivera, Manuel Mazzara, JooYoung Lee

In this paper we propose an algorithm, Simple Hebbian PCA, and prove that it is able to calculate the principal component analysis (PCA) in a distributed fashion across nodes. It simplifies existing network structures by removing intralayer weights, essentially cutting the number of weights that need to be trained in half.

Knowledge Graph



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