A Fast Algorithm for Updating and Downsizing the Dominant Kernel Principal Components
From MaRDI portal
Publication:3079751
DOI10.1137/090774422zbMath1209.65045OpenAlexW2139585442MaRDI QIDQ3079751
Paul Van Dooren, Nicola Mastronardi, Evgenij E. Tyrtyshnikov
Publication date: 2 March 2011
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/090774422
algorithmsnumerical exampleseigenvectorsupdatingmachine learningprincipal componentslow rank approximationkernel Gram matrixdominant eigenvalueslarge scale data
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (2)
An incremental singular value decomposition approach for large-scale spatially parallel \& distributed but temporally serial data -- applied to technical flows ⋮ Recursive approximation of the dominant eigenspace of an indefinite matrix
This page was built for publication: A Fast Algorithm for Updating and Downsizing the Dominant Kernel Principal Components