Privacy-preserving Gaussian Process Latent Variable Model for Dimensional Reduction.
Takayuki NakachiYitu WangPublished in: ISCIT (2023)
Keyphrases
- privacy preserving
- dimensional reduction
- gaussian process latent variable models
- dimensionality reduction
- latent space
- low dimensional
- principal component analysis
- high dimensional
- privacy preserving data mining
- locally linear embedding
- vertically partitioned data
- face recognition
- dimensional data
- data sets
- high dimensional data
- manifold learning
- dimension reduction
- multi dimensional
- pattern recognition
- feature vectors
- feature selection
- gaussian process
- linear discriminant analysis
- input data
- database systems
- feature space
- machine learning
- support vector machine
- database