Information theory divergences in principal component analysis.
Eduardo K. NakaoAlexandre L. M. LevadaPublished in: Pattern Anal. Appl. (2024)
Keyphrases
- information theory
- principal component analysis
- information theoretic
- principal components
- dimensionality reduction
- statistical mechanics
- jensen shannon divergence
- kl divergence
- kullback leibler divergence
- statistical learning
- covariance matrix
- low dimensional
- dimension reduction
- conditional entropy
- feature extraction
- bregman divergences
- face recognition
- random projections
- mdl principle
- feature space
- relative entropy
- image quality
- mutual information
- image registration
- pattern recognition
- similarity measure
- shannon entropy