Semi-Supervized Hyperspectral Image Classification using Virtually Labeled Training Data based on the Improved Gaussian Mixture Clustering.
Vlad-Calin Chirila-BerbenteaVictor-Emil NeagoePublished in: ECAI (2018)
Keyphrases
- gaussian mixture
- labeled training data
- hyperspectral image classification
- unlabeled data
- labeled data
- supervised learning
- density estimation
- text classification
- semi supervised learning
- gaussian mixture model
- k means
- expectation maximization
- covariance matrix
- em algorithm
- active learning
- clustering algorithm
- closed form
- unsupervised learning
- probability density function
- labeled examples
- data points
- mixture model
- co training
- hyperspectral images
- high dimensional data
- hyperspectral
- probabilistic model
- feature selection
- document clustering
- outlier detection
- information retrieval
- semi supervised