Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data.
Alexander GepperthBenedikt PfülbPublished in: Neural Process. Lett. (2021)
Keyphrases
- gaussian mixture model
- streaming data
- high dimensional
- data streams
- mixture model
- concept drift
- sliding window
- feature space
- em algorithm
- data distribution
- expectation maximization
- speaker recognition
- maximum likelihood
- data stream mining
- feature vectors
- evolving data streams
- massive data streams
- anomaly detection
- data points
- training samples
- training set
- low dimensional
- multi dimensional
- stream data
- incoming data
- training examples
- high dimensional data
- machine learning
- generative model
- speaker identification
- nearest neighbor
- concept drifting data streams
- feature extraction