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Principal Component Classification

2022-10-23 · 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.

📄 PDF Abstract BibTeX arXiv:2210.12746

Code (1)

roznn/dec 공식 구현

Tasks

ClassificationComponent ClassificationDecoder

Methods 이 논문이 사용한 방법론

PCA Principle Components Analysis (PCA) is an unsupervised method primary used for dimensionality reduction within machine learning. PCA is calculated via a singular value…

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