Deterministic Sampling of Multivariate Densities based on Projected Cumulative Distributions.
Uwe D. HanebeckPublished in: CISS (2020)
Keyphrases
- multivariate normal
- probability density
- probability distribution
- gaussian densities
- gaussian density
- finite mixtures
- probability distribution function
- dependence structure
- point processes
- highly skewed
- covariance matrix
- sample size
- probability density function
- random samples
- regression model
- multivariate data
- random sampling
- multivariate gaussian
- random variables
- sampling methods
- kullback leibler divergence
- neural network
- gaussian mixture
- exponential distributions
- data sets
- projector camera
- high dimensional data streams
- sampled data
- sampling rate
- sampling algorithm
- markov chain monte carlo
- structured light
- confidence intervals
- statistical tests
- gaussian distribution
- black box
- parameter space
- monte carlo
- learning algorithm