Principal Component Classification

Code

• github.com/roznn/dec
  OfficialIn papernone★ 0

Abstract

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.

Tasks

Reproductions