A model selection approach for multiple sequence segmentation and dimensionality reduction.
Bruno M. CastroRenan B. LemesJonatas CesarTábita HünemeierFlorencia G. LeonardiPublished in: J. Multivar. Anal. (2018)
Keyphrases
- model selection
- dimensionality reduction
- motion segmentation
- cross validation
- hyperparameters
- mixture model
- bayesian information criterion
- bayesian learning
- parameter estimation
- segmentation algorithm
- feature selection
- error estimation
- regression model
- variable selection
- multiple objects
- generalization error
- sample size
- machine learning
- model selection criteria
- parameter determination
- selection criterion
- statistical inference
- information criterion
- marginal likelihood
- level set
- principal component analysis
- image segmentation
- prior information
- closed form
- kernel matrix
- high dimensional data
- data mining