Compressive Online Robust Principal Component Analysis via <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math> </inline-formula>-<inline-formula> <tex-m
DOI10.1109/TIP.2018.2831915zbMath1409.90242DBLPjournals/tip/LuongDSFK18OpenAlexW2799374010WikidataQ88995244 ScholiaQ88995244MaRDI QIDQ4617448
Huynh van Luong, André Kaup, Jürgen Seiler, Nikos Deligiannis, Søren Forchhammer
Publication date: 6 February 2019
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tip.2018.2831915
Factor analysis and principal components; correspondence analysis (62H25) Applications of mathematical programming (90C90) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Related Items (1)
This page was built for publication: Compressive Online Robust Principal Component Analysis via <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math> </inline-formula>-<inline-formula> <tex-m