Memory and Computation Efficient PCA via Very Sparse Random Projections.
Farhad Pourkamali-AnarakiShannon M. HughesPublished in: ICML (2014)
Keyphrases
- random projections
- principal component analysis
- compressive sensing
- dimensionality reduction
- compressed sensing
- dimension reduction
- sparse representation
- original data
- low dimensional
- lower dimensional
- random sampling
- image reconstruction
- signal reconstruction
- neural network
- high dimensionality
- high dimensional
- object recognition
- knn
- hash functions
- data streams
- feature extraction
- face recognition
- data mining