θ is all you need: Revisiting SVD in caputuring changes in matrices.
Yanwen ZhangJichang ZhaoPublished in: ACAI (2022)
Keyphrases
- singular value decomposition
- singular values
- least squares
- dimensionality reduction
- low rank
- data matrix
- dimension reduction
- low rank approximation
- latent semantic indexing
- singular vectors
- linear algebra
- reconstruction error
- correlation matrix
- principal component analysis
- matrix completion
- information systems
- linear combination
- high dimensional
- case study
- social networks
- artificial intelligence