Normalized Entropy Vectors, Network Information Theory and Convex Optimization.
Babak HassibiSormeh ShadbakhtPublished in: ITW (2007)
Keyphrases
- information theory
- convex optimization
- information theoretic
- jensen shannon divergence
- conditional entropy
- shannon entropy
- convex optimization problems
- interior point methods
- norm minimization
- total variation
- low rank
- convex relaxation
- kullback leibler divergence
- relative entropy
- primal dual
- mutual information
- image processing
- machine learning
- feature vectors
- similarity measure