Fast Randomized PCA for Sparse Data.
Xu FengYuyang XieMingye SongWenjian YuJie TangPublished in: ACML (2018)
Keyphrases
- sparse data
- high dimensional
- principal component analysis
- random projections
- dimensionality reduction
- principal components
- principal components analysis
- principle component analysis
- emerging patterns
- face recognition
- feature extraction
- face images
- data sets
- linear discriminant analysis
- machine learning
- low dimensional
- singular value decomposition
- high dimensionality
- dimension reduction
- multi dimensional
- data cube
- high dimensional data
- nearest neighbor
- feature space
- multiscale
- computer vision
- data mining