Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions".
Sumanta BasuXianqi LiGeorge MichailidisPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- low rank
- high dimensional
- high dimensional data
- missing data
- matrix factorization
- convex optimization
- singular value decomposition
- low rank matrix
- matrix completion
- rank minimization
- linear combination
- dimensionality reduction
- kernel matrix
- semi supervised
- low dimensional
- trace norm
- singular values
- matrix decomposition
- machine learning
- high order
- data sets
- nearest neighbor
- low rank matrices
- high dimensionality
- minimization problems
- feature vectors
- data analysis
- pattern recognition