Browsing by Author "Huang, Shaoguang"

A robust sparse representation model for hyperspectral image classification

All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising

Deep learning for paint loss detection with a multiscale, translation invariant network

Deep learning for paint loss detection: A case study on the Ghent altarpiece

Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection

Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor

Joint sparsity based sparse subspace clustering for hyperspectral images

Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion

Paint loss detection via kernel sparse representation

Robust dynamic classifier selection for remote sensing image classification

Robust joint sparsity model for hyperspectral image classification

Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images

Sparse coding for the analysis of high-dimensional data: applications in remote sensing and art investigation

Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation