Lower and upper bounds for approximation of the Kullback-Leibler divergence between Gaussian Mixture Models.
Jean-Louis DurrieuJean-Philippe ThiranFinnian KellyPublished in: ICASSP (2012)
Keyphrases
- kullback leibler divergence
- lower and upper bounds
- gaussian mixture model
- probability density function
- lower bound
- mixture model
- upper bound
- probability density
- information theoretic
- em algorithm
- density estimation
- distance measure
- generalized gaussian
- gaussian mixture
- mutual information
- feature vectors
- expectation maximization
- information theory
- density function
- maximum likelihood
- itemsets
- gaussian distribution
- active learning
- feature space
- model selection
- closed form
- marginal distributions
- image processing
- information retrieval