Principal Component Classification

10/23/2022

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by   Rozenn Dahyot, et al.

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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.