Optimality of Least-squares for Classification in Gaussian-Mixture Models.
Hossein TaheriRamtin PedarsaniChristos ThrampoulidisPublished in: ISIT (2020)
Keyphrases
- gaussian mixture model
- least squares
- feature vectors
- mixture model
- maximum likelihood criterion
- feature space
- density estimation
- speaker recognition
- classification accuracy
- em algorithm
- image classification
- expectation maximization
- pattern recognition
- decision trees
- maximum likelihood
- probability density
- covariance matrices
- computer vision
- unsupervised learning
- supervised learning
- pattern classification
- object recognition
- text mining
- principal component analysis
- speaker identification
- finite mixtures