On the Use of Kullback-Leibler Divergence for Kernel Selection and Interpretation in Variational Autoencoders for Feature Creation.
Fábio MendonçaSheikh Shanawaz MostafaFernando Morgado DiasAntonio G. Ravelo-GarcíaPublished in: Inf. (2023)
Keyphrases
- kullback leibler divergence
- mutual information
- information theoretic
- information theory
- probability density function
- selection criterion
- kl divergence
- distance measure
- bhattacharyya distance
- feature vectors
- denoising
- feature space
- kernel function
- marginal distributions
- image segmentation
- feature set
- diffusion tensor
- image registration
- probabilistic model