FouRA: Fourier Low Rank Adaptation.
Shubhankar BorseShreya KadambiNilesh Prasad PandeyKartikeya BhardwajViswanath GanapathySweta PriyadarshiRisheek GarrepalliRafael EstevesMunawar HayatFatih PorikliPublished in: CoRR (2024)
Keyphrases
- low rank
- convex optimization
- matrix factorization
- linear combination
- missing data
- singular value decomposition
- rank minimization
- matrix completion
- low rank matrix
- high dimensional data
- matrix decomposition
- semi supervised
- kernel matrix
- high order
- low rank representation
- trace norm
- eigendecomposition
- minimization problems
- singular values
- low rank matrices
- robust principal component analysis
- data matrix
- small number
- high dimensional
- moving objects
- data mining
- neural network