Robust PCA Based on Incoherence With Geometrical Interpretation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2790481
Abstract: Robust principal component analysis, which extracts low-dimensional data from high-dimensional data, can also be regarded as a source separation problem of the sparse error matrix and the low-rank matrix. Until recently, various methods have attempted… read more here.
Keywords: source separation; based incoherence; separation; incoherence ... See more keywords
Provable Dynamic Robust PCA or Robust Subspace Tracking
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2018.2872023
Abstract: Dynamic robust principal component analysis (PCA) refers to the dynamic (time-varying) extension of robust PCA (RPCA). It assumes that the true (uncorrupted) data lie in a low-dimensional subspace that can change with time, albeit slowly.… read more here.
Keywords: pca; provable dynamic; pca robust; dynamic robust ... See more keywords
Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2941271
Abstract: Contrast enhanced ultrasound is a radiation-free imaging modality which uses encapsulated gas microbubbles for improved visualization of the vascular bed deep within the tissue. It has recently been used to enable imaging with unprecedented subwavelength… read more here.
Keywords: deep unfolded; pca; clutter; deep network ... See more keywords
Structural damage detection by integrating robust PCA and classical PCA for handling environmental variations and imperfect measurement data
Sign Up to like & getrecommendations! Published in 2022 at "Advances in Structural Engineering"
DOI: 10.1177/13694332221079090
Abstract: This paper proposes a vibration-based structural damage detection approach considering the effects of uncertainties, including environmental variations and random errors that possibly stem from measurement and automatic modal identification. The existing methods that only employ… read more here.
Keywords: environmental variations; random errors; damage; damage detection ... See more keywords