Sparse probability density function estimation using the minimum integrated square error.
Xia HongSheng ChenAbdulrohman QatawnehKhaled DaqrouqMuntasir SheikhAli MorfeqPublished in: Neurocomputing (2013)
Keyphrases
- square error
- probability density function
- parzen window
- density estimation
- probability density
- kernel density estimation
- density function
- noise sensitivity
- kullback leibler divergence
- probability distribution
- gaussian mixture
- gaussian mixture model
- mixture model
- objective function
- bhattacharyya distance
- expectation maximization
- bayesian framework
- statistical methods
- maximum likelihood estimation
- high dimensional
- fisher information
- em algorithm
- kl divergence
- low dimensional
- higher order
- unsupervised learning
- maximum likelihood
- level set
- feature space