Feature-based model selection for object detection from point cloud data.
Kairi TokudaRyoichi ShinkumaTakehiro SatoEiji OkiPublished in: CoRR (2022)
Keyphrases
- model selection
- object detection
- point cloud data
- point cloud
- hough transform
- cross validation
- hyperparameters
- bayesian learning
- sample size
- parameter estimation
- model selection criteria
- generalization error
- computer vision
- statistical inference
- multi class
- regression model
- mixture model
- machine learning
- variable selection
- object recognition
- feature selection
- marginal likelihood
- error estimation
- selection criterion
- structure from motion
- parameter determination
- image processing
- bayesian methods
- leave one out cross validation
- bayesian networks
- gaussian process
- probabilistic model
- closed form
- automatic model selection
- convex hull