Computing f -divergences and distances of high-dimensional probability density functions.
Alexander LitvinenkoYoussef M. MarzoukHermann G. MatthiesMarco ScavinoAlessio SpantiniPublished in: Numer. Linear Algebra Appl. (2023)
Keyphrases
- probability density function
- high dimensional
- class conditional
- low dimensional
- distance function
- density function
- similarity search
- density estimation
- nearest neighbor
- kullback leibler divergence
- gaussian mixture model
- parzen window
- texture descriptors
- dimensionality reduction
- bayesian framework
- higher order statistics
- high dimensional data
- kernel density estimation
- probability density
- gaussian mixture
- probability distribution
- expectation maximization
- information retrieval
- distance measure
- maximum entropy
- metric space
- generalized gaussian
- distance computation
- statistical methods
- kl divergence
- mutual information
- knn
- data points
- pairwise
- computer vision