What Augmentations are Sensitive to Hyper-Parameters and Why?
Ch Muhammad AwaisImad Eddine Ibrahim BekkouchAdil Mehmood KhanPublished in: SAI (1) (2022)
Keyphrases
- hyperparameters
- model selection
- cross validation
- support vector
- bayesian inference
- closed form
- bayesian framework
- random sampling
- prior information
- em algorithm
- gaussian process
- variational bayes
- noise level
- posterior distribution
- incremental learning
- maximum likelihood
- sample size
- maximum a posteriori
- missing values
- incomplete data
- parameter space
- parameter estimation
- machine learning
- computer vision
- parameter settings
- learning process
- image segmentation
- image processing
- probabilistic model
- higher order
- bayesian methods
- error rate