Uncertainty minimization in multi-sensor localization systems using model selection theory.
Sreenivas R. SukumarHamparsum BozdoganDavid L. PageAndreas F. KoschanMongi A. AbidiPublished in: ICPR (2008)
Keyphrases
- model selection
- multi sensor
- cross validation
- bayesian learning
- hyperparameters
- sample size
- regression model
- machine learning
- error estimation
- generalization error
- mixture model
- parameter estimation
- data fusion
- fusion algorithm
- infrared
- pattern recognition
- information criterion
- model selection criteria
- automatic model selection
- image fusion
- data mining
- bayesian inference
- variable selection
- mobile robot
- bayesian methods
- image segmentation
- feature selection