Generalized subspace based high dimensional density estimation.
Karthikeyan Shanmuga VadivelMehmet Emre SarginSwapna JoshiB. S. ManjunathScott T. GraftonPublished in: ICIP (2011)
Keyphrases
- density estimation
- high dimensional
- low dimensional
- probability density function
- high dimensional data
- dimensionality reduction
- mixture model
- feature space
- lower dimensional
- mixture modeling
- density function
- probability density
- gaussian mixture model
- nonparametric density estimation
- outlier detection
- principal component analysis
- high dimensionality
- gaussian mixture
- kernel density estimation
- similarity search
- parzen window
- data sets
- em algorithm
- nearest neighbor
- data points
- linear subspace
- density estimates
- density estimators
- higher dimensional
- feature extraction
- expectation maximization
- kernel function