Improving Parametric PCA Using KL-divergence Between Gaussian-Markov Random Field Models.
Alexandre L. M. LevadaPublished in: ICCSA (2) (2021)
Keyphrases
- kl divergence
- markov random field models
- gaussian mixture
- gaussian distribution
- covariance matrix
- principal component analysis
- kullback leibler
- mahalanobis distance
- kullback leibler divergence
- image restoration
- information theoretic
- probability density
- dimensionality reduction
- image segmentation
- high dimensional
- posterior distribution
- marginal distributions
- feature extraction
- maximum likelihood
- feature space
- euclidean distance
- em algorithm
- probability distribution
- pairwise
- exponential family
- face recognition
- clustering algorithm