Unsupervised Linear Component Analysis for a Class of Probability Mixture Models.
Marc CastellaPublished in: IEEE Signal Process. Lett. (2024)
Keyphrases
- component analysis
- mixture model
- unsupervised learning
- factor analysis
- gaussian mixture model
- automatic model selection
- density estimation
- grassmann manifold
- em algorithm
- probabilistic model
- generative model
- blind source separation
- expectation maximization
- model selection
- mixture components
- language model
- maximum likelihood
- mixture modeling
- learning algorithm
- semi supervised
- computer vision
- independent component analysis
- probability distribution
- feature vectors
- support vector
- bayesian networks
- knn
- data sets
- collaborative filtering