Sensor-Aided NILM with Gaussian Mixture Models.
Nidhal BaltiBaptiste VrigneauPascal ScalartPublished in: EUSIPCO (2023)
Keyphrases
- gaussian mixture model
- mixture model
- feature vectors
- em algorithm
- speaker recognition
- maximum likelihood
- gaussian distribution
- variational bayes
- expectation maximization
- sensor networks
- feature space
- covariance matrices
- probability density
- speaker identification
- gaussian mixture
- feature selection
- density estimation
- model selection
- probability density function
- unsupervised learning
- probabilistic model
- pairwise
- pattern recognition
- image processing
- bayesian information criterion
- computer vision