Deterministic matrix sketches for low-rank compression of high-dimensional simulation data.
Alec Michael DuntonAlireza DoostanPublished in: CoRR (2021)
Keyphrases
- low rank
- simulation data
- high dimensional
- high dimensional data
- gene expression data
- low rank matrix
- convex optimization
- matrix decomposition
- rank minimization
- linear combination
- singular value decomposition
- matrix factorization
- numerical simulations
- matrix completion
- missing data
- data sets
- low dimensional
- dimensionality reduction
- trace norm
- singular values
- kernel matrix
- high order
- factorization methods
- semi supervised
- high dimensionality
- data matrix
- nuclear norm
- low rank matrices
- low rank and sparse
- nearest neighbor
- sparse coding
- frobenius norm
- natural images
- image compression
- binary matrix
- data points
- machine learning
- gene expression
- theoretical analysis
- minimization problems
- higher order
- recommender systems
- feature extraction
- feature selection