PCA2 min read
Learning to Select Features with Manifold Deep Unfolding PCA
Unsupervised feature selection (UFS) is of great significance in image processing and pattern recognition. Nevertheless, existing model-based methods often rely on manually tuned hyperparameters, while deep learning-based methods generally require massive training data.
By Jingjing Liu, Pei Tai, Xianchao Xiu, Wanquan LiuarXiv - cs.CV (CV)
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Originally published by arXiv - cs.CV (CV) on Oct 15, 2026.
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