Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation.
Martin AzizyanAarti SinghLarry A. WassermanPublished in: CoRR (2013)
Keyphrases
- high dimensional
- gaussian mixture
- sparse data
- low dimensional
- closed form
- dimensionality reduction
- mixture model
- gaussian mixture model
- covariance matrix
- em algorithm
- feature space
- additive models
- probability density function
- covariance matrices
- similarity search
- minimum classification error
- machine learning
- expectation maximization
- query processing
- feature extraction