Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation.
Martin AzizyanAarti SinghLarry A. WassermanPublished in: NIPS (2013)
Keyphrases
- high dimensional
- gaussian mixture
- sparse data
- low dimensional
- probability density function
- closed form
- dimensionality reduction
- additive models
- high dimensional data
- em algorithm
- similarity search
- gaussian mixture model
- covariance matrix
- expectation maximization
- statistical analysis
- mixture model
- sparse representation
- denoising
- density estimation
- nearest neighbor
- probabilistic model
- information retrieval