Asymptotic Estimates in Information Theory with Non-Vanishing Error Probabilities.
Vincent Y. F. TanPublished in: Found. Trends Commun. Inf. Theory (2014)
Keyphrases
- information theory
- information theoretic
- conditional entropy
- statistical learning
- probability estimates
- jensen shannon divergence
- expected values
- statistical mechanics
- error rate
- estimation error
- rate distortion theory
- unbiased estimator
- statistical physics
- mdl principle
- kullback leibler divergence
- relative entropy
- mutual information
- worst case
- probability distribution
- video sequences
- similarity measure
- shannon entropy
- information geometry
- image segmentation