Random Projection Streams for (Weighted) Nonnegative Matrix Factorization.
Farouk YahayaMatthieu PuigtGilles DelmaireGilles RousselPublished in: ICASSP (2021)
Keyphrases
- nonnegative matrix factorization
- random projections
- original data
- principal component analysis
- document clustering
- negative matrix factorization
- dimensionality reduction
- data representation
- sparse representation
- matrix factorization
- dimension reduction
- random sampling
- data streams
- least squares
- low dimensional
- image reconstruction
- spectral clustering
- hash functions
- feature extraction
- high dimensional data
- high dimensionality
- data sets
- raw data
- feature space
- image processing
- kernel function
- input data
- image classification
- nearest neighbor
- high dimensional
- pattern recognition
- objective function