Fast Randomized PCA for Sparse Data.
Xu FengYuyang XieMingye SongWenjian YuJie TangPublished in: CoRR (2018)
Keyphrases
- sparse data
- high dimensional
- principal component analysis
- random projections
- dimensionality reduction
- principal components analysis
- principal components
- low dimensional
- emerging patterns
- feature space
- principle component analysis
- dimension reduction
- face recognition
- feature extraction
- multi category
- similarity search
- nearest neighbor
- high dimensionality
- high dimensional data
- clustering method
- singular value decomposition
- face images
- least squares
- preprocessing
- pattern recognition
- image processing
- computer vision
- database