Privacy-preserving biometrics using matrix random low-rank approximation approach.
Xi ChenLuping ZhengZengli LiuJiashu ZhangPublished in: ISBAST (2014)
Keyphrases
- privacy preserving
- low rank approximation
- singular value decomposition
- low rank matrix approximation
- low rank
- subspace learning
- privacy preserving data mining
- kernel matrix
- vertically partitioned data
- adjacency matrix
- spectral clustering
- data dependent
- iterative algorithms
- nonnegative matrix factorization
- latent semantic indexing
- data privacy
- reconstruction error
- pattern recognition
- data sets
- missing data
- dimensionality reduction
- graph representation
- convex optimization
- kernel methods
- high dimensional