Discriminative low-rank representation with Schatten-p norm for image recognition
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7653-x
Abstract: Low-rank representation (LRR) has attracted much attention recently due to its efficacy in a rich variety of real world applications. Recently, the non-convex regularization has become widely used in the rank minimization problem. In this… read more here.
Keywords: rank representation; rank; recognition; low rank ... See more keywords
Tensorial Multi-Linear Multi-View Clustering via Schatten-p Norm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3241810
Abstract: Despite satisfactory clustering performance, current subspace-based multi-view clustering methods still suffer from the following limitations. 1) They usually concentrate on the data features in linear subspaces and ignore the features in nonlinear subspaces. 2) They… read more here.
Keywords: tensorial multi; schatten norm; multi; multi view ... See more keywords
Compressed Sensing MRI by Integrating Deep Denoiser and Weighted Schatten P-Norm Minimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3122338
Abstract: To efficiently reconstruct magnetic resonance images (MRI) from highly undersampled measurements by using compressed sensing (CS), in this letter, we propose a hybrid regularization model from deep prior and low-rank prior. The local deep prior… read more here.
Keywords: weighted schatten; low rank; schatten norm; compressed sensing ... See more keywords
Sparse-view CBCT reconstruction via weighted Schatten p-norm minimization.
Sign Up to like & getrecommendations! Published in 2020 at "Optics express"
DOI: 10.1364/oe.404471
Abstract: A novel iterative algorithm is proposed for sparse-view cone beam computed tomography (CBCT) reconstruction based on the weighted Schatten p-norm minimization (WSNM). By using the half quadratic splitting, the sparse-view CBCT reconstruction task is decomposed… read more here.
Keywords: reconstruction; cbct reconstruction; sparse view; schatten norm ... See more keywords