Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering.
Robert JenssenDeniz ErdogmusKenneth E. Hild IIJosé Carlos PríncipeTorbjørn EltoftPublished in: EMMCVPR (2005)
Keyphrases
- information theoretic
- kullback leibler divergence
- mutual information
- information theory
- theoretic framework
- kl divergence
- information bottleneck
- probability density function
- multi modality
- distance measure
- log likelihood
- minimum description length
- information theoretic measures
- kullback leibler
- distance function
- generalized gaussian
- computational learning theory
- relative entropy
- jensen shannon divergence
- euclidean distance
- image processing
- jensen shannon
- text categorization
- entropy measure