Cauchy robust principal component analysis with applications to high-dimensional data sets.
Aisha FayomiYannis PantazisMichail TsagrisAndrew T. A. WoodPublished in: Stat. Comput. (2024)
Keyphrases
- high dimensional data sets
- robust principal component analysis
- low rank
- high dimensional data
- multi dimensional
- high dimensional
- nearest neighbor search
- data points
- hyperplane
- dimensional data
- random projections
- data sets
- foreground detection
- rank minimization
- dimension reduction
- dimensionality reduction
- small sample size
- maximum likelihood
- nearest neighbor
- high dimensionality
- missing data
- convex optimization
- sparse representation
- training data
- low rank and sparse
- gene expression
- linear discriminant analysis
- image retrieval
- pattern recognition
- image processing
- data mining