Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise.
Chenlu QiuNamrata VaswaniBrian LoisLeslie HogbenPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- principal component analysis
- high dimensional
- structured data
- face recognition
- sparse regression
- dimension reduction
- low dimensional
- computationally efficient
- missing data
- independent component analysis
- dimensionality reduction
- random projections
- noise model
- noisy environments
- data sets
- sparse pca
- low rank representation