An exploration of the role of principal inertia components in information theory.
Flávio du Pin CalmonMayank VariaMuriel MédardPublished in: ITW (2014)
Keyphrases
- information theory
- information theoretic
- jensen shannon divergence
- statistical mechanics
- statistical learning
- conditional entropy
- kullback leibler divergence
- relative entropy
- statistical physics
- shannon entropy
- information geometry
- machine learning
- image processing
- pattern recognition
- mutual information
- mdl principle