Paper ID: 2210.12746

Principal Component Classification

Rozenn Dahyot

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.

Submitted: Oct 23, 2022