Density estimation on low-dimensional manifolds: an inflation-deflation approach.
Christian HorvatJean-Pascal PfisterPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- density estimation
- low dimensional manifolds
- low dimensional
- manifold learning
- face images
- high dimensional
- high dimensional data
- probability density function
- data points
- mixture model
- subspace methods
- density function
- outlier detection
- probability density
- em algorithm
- dimensionality reduction
- gaussian mixture model
- object recognition
- expectation maximization
- input space
- face recognition
- maximum likelihood
- dimension reduction
- data sets
- principal component analysis
- pairwise
- gaussian mixture