Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients.
Jing XuJakub MarecekPublished in: CoRR (2017)
Keyphrases
- parameter estimation
- gaussian mixture model
- malicious noise
- noise tolerant
- em algorithm
- maximum likelihood
- expectation maximization
- mixture model
- model selection
- maximum likelihood estimation
- least squares
- parameter estimation algorithm
- generative model
- posterior distribution
- noisy data
- probability density function
- label noise
- low degree
- covariance matrices
- wavelet coefficients
- hyperparameters
- likelihood function
- gaussian distribution
- unsupervised learning
- markov random field
- machine learning
- bayesian framework
- statistical queries
- image segmentation
- similarity measure
- denoising