Approximating probability distributions with short vectors, via information theoretic distance measures.
Ferdinando CicaleseLuisa GarganoUgo VaccaroPublished in: ISIT (2016)
Keyphrases
- pattern recognition
- information theoretic
- distance measure
- probability distribution
- vector space
- mutual information
- information theory
- kullback leibler divergence
- similarity measure
- theoretic framework
- euclidean distance
- distance function
- information bottleneck
- kullback leibler
- kl divergence
- bhattacharyya distance
- random variables
- feature extraction
- jensen shannon divergence
- information theoretic measures
- distance metric
- image processing
- edit distance
- dynamic time warping
- machine learning
- feature vectors
- bayesian networks
- decision trees
- entropy measure
- jensen shannon
- log likelihood
- dissimilarity measure
- image registration
- probabilistic model
- feature selection