GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes.
Penny JohnstonKeiller NogueiraKevin SwinglerPublished in: IEEE Access (2023)
Keyphrases
- sample size
- image classification
- probabilistic model
- small sample
- model selection
- graphical models
- random sample
- mixture model
- expectation maximization
- feature extraction
- gaussian mixture model
- generative model
- covariance matrix
- random sampling
- statistical tests
- finite sample
- hidden variables
- variance reduction
- structure learning
- statistical power
- confidence intervals
- image representation
- em algorithm
- upper bound
- small sample size
- small samples
- latent variables
- experimental design
- conditional random fields
- language model
- object recognition