Consensus-based distributed expectation-maximization algorithm for density estimation and classification using wireless sensor networks.
Pedro A. ForeroAlfonso CanoGeorgios B. GiannakisPublished in: ICASSP (2008)
Keyphrases
- density estimation
- expectation maximization
- em algorithm
- mixture model
- wireless sensor networks
- probabilistic model
- parzen window
- density function
- finite mixture model
- probability density
- k means
- learning algorithm
- unsupervised learning
- support vector machine svm
- parameter estimation
- probability density function
- detection algorithm
- gaussian mixture
- maximum likelihood estimation
- multivariate gaussian distribution
- bayesian framework
- maximum likelihood
- probability distribution
- image processing
- gaussian mixture model
- generative model
- data reduction
- preprocessing
- similarity measure
- information retrieval
- machine learning