arXiv:2210.12746
공식 코드 · Papers with Code
Principal Component Classification
원문 초록
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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