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Principal Component Classification
Rozenn Dahyot · 2022-10-23 · via stat.ML updates on arXiv.org

We propose to directly compute classification estimates by learning features encoded with their class scores using PCA. Our resulting model has a encoder-decoder structure suitable for supervised learning, it is computationally efficient and performs well for classification on several datasets.

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