KL-divergence kernel regression for non-Gaussian fingerprint based localization.
Piotr MirowskiHarald SteckPhilip WhitingRavishankar PalaniappanMichael MacDonaldTin Kam HoPublished in: IPIN (2011)
Keyphrases
- kernel regression
- kl divergence
- gaussian distribution
- kullback leibler divergence
- information theoretic
- regression model
- mahalanobis distance
- linear regression
- gaussian mixture
- regression methods
- non stationary
- probability density
- exponential family
- maximum likelihood
- mutual information
- gaussian mixture model
- euclidean distance
- posterior distribution
- pairwise
- feature extraction
- model selection