Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes.
Riccardo BenagliaAngelo PorrelloPietro BuzzegaSimone CalderaraRita CucchiaraPublished in: CoRR (2024)
Keyphrases
- low rank
- convex optimization
- linear combination
- missing data
- matrix factorization
- matrix completion
- rank minimization
- singular value decomposition
- matrix decomposition
- low rank matrix
- high order
- high dimensional data
- trace norm
- semi supervised
- low rank matrices
- singular values
- minimization problems
- robust principal component analysis
- error correction
- kernel matrix
- latent variables
- optical flow
- image processing
- image denoising
- neural network
- data sets