Nonparametric Gamma Kernel Estimates of Density Derivatives on Positive Semiaxis.
Alexander V. DobrovidovLiubov MarkovichPublished in: MIM (2013)
Keyphrases
- density estimates
- density estimation
- nonparametric density estimation
- kernel density estimation
- kernel density estimator
- multiple instance learning
- density estimators
- probability density
- higher order
- positive and negative
- density function
- probability density function
- neural network
- parzen window
- reproducing kernel hilbert space
- mixture model
- image derivatives
- feature space
- training data
- outlier detection
- mean shift
- kernel function
- machine learning
- dimensionality reduction
- principal component analysis
- kernel density