PCA Reduced Gaussian Mixture Models with Applications in Superresolution.
Johannes HertrichDang Phoung Lan NguyenJean-François AujolDominique BernardYannick BerthoumieuAbdellativ Sa'adaldinGabriele SteidlPublished in: CoRR (2020)
Keyphrases
- gaussian mixture model
- super resolution
- low resolution
- principal component analysis
- high resolution
- feature space
- mixture model
- resolution enhancement
- image reconstruction
- high resolution images
- low resolution images
- speaker recognition
- feature vectors
- high quality
- expectation maximization
- em algorithm
- face recognition
- face images
- motion estimation
- covariance matrix
- dimensionality reduction
- image super resolution
- fundamental limits
- maximum likelihood
- covariance matrices
- feature extraction
- multiresolution
- imaging process
- parameter estimation
- k means
- high dimensional
- computer vision