Enhancing random projection with independent and cumulative additive noise for privacy-preserving data stream mining.
Benjamin DenhamRussel PearsM. Asif NaeemPublished in: Expert Syst. Appl. (2020)
Keyphrases
- additive noise
- privacy preserving
- random projections
- privacy preserving data mining
- spatial domain
- maximum likelihood
- noisy images
- dimensionality reduction
- dimension reduction
- random variables
- sparse representation
- original data
- random sampling
- principal component analysis
- image reconstruction
- hash functions
- machine learning
- data streams
- frequency domain
- low dimensional
- denoising
- pattern recognition
- motion estimation
- feature vectors
- database systems
- computer vision
- data mining