Local Deep-Feature Alignment for Unsupervised Dimension Reduction

DOI10.1109/TIP.2018.2804218zbMath1409.94749arXiv1904.09747OpenAlexW2791840139WikidataQ89559740 ScholiaQ89559740MaRDI QIDQ4617233

Jian Zhang, Jun Yu, Dacheng Tao

Publication date: 6 February 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.09747

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (7)

Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel ⋮ Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering ⋮ A stacking weighted \(k\)-nearest neighbour with thresholding ⋮ Denoising low-rank discrimination based least squares regression for image classification ⋮ Robust low-rank kernel multi-view subspace clustering based on the Schatten \(p\)-norm and correntropy ⋮ Dimensionality reduction based on kCCC and manifold learning ⋮ GraphLSHC: towards large scale spectral hypergraph clustering

This page was built for publication: Local Deep-Feature Alignment for Unsupervised Dimension Reduction