Sample size for maximum-likelihood estimates of Gaussian model depending on dimensionality of pattern space.
Josef V. PsutkaJosef PsutkaPublished in: Pattern Recognit. (2019)
Keyphrases
- sample size
- gaussian model
- model selection
- upper bound
- maximum likelihood estimates
- expectation maximization
- random sampling
- closed form
- mixture model
- high dimensional
- gaussian distribution
- dimensionality reduction
- em algorithm
- low dimensional
- worst case
- probabilistic model
- feature space
- image processing
- parameter estimation
- maximum likelihood
- gaussian mixture model
- face recognition