Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data.
Naoya TakeishiTakehisa YairiNaoki NishimuraYuta NakajimaNoboru TakataPublished in: PAKDD (2) (2016)
Keyphrases
- sensor data
- mixture model
- finite mixtures
- em algorithm
- sensor networks
- gaussian mixture model
- data streams
- expectation maximization
- mixture modeling
- sensor measurements
- density estimation
- human activities
- model selection
- finite mixture models
- probabilistic model
- health monitoring
- unsupervised learning
- generative model
- language model
- earth observation
- smart environments
- sensor readings
- maximum likelihood
- statistical tests
- model based clustering
- automatic model selection
- minimum message length
- multiple sensors
- gaussian mixture
- probability density function
- supervised learning
- d objects
- pairwise
- object recognition