Feasibility of Kd-Trees in Gaussian Process Regression to Partition Test Points in High Resolution Input Space.
Ivan De BoiBart RibbensPieter JorissenRudi PennePublished in: Algorithms (2020)
Keyphrases
- input space
- gaussian process regression
- data points
- high resolution
- kd trees
- dimensionality reduction
- feature space
- high dimensional
- nearest neighbor search
- input data
- gaussian processes
- gaussian process
- high dimensional data
- kernel function
- training set
- k nearest neighbor
- low dimensional
- data structure
- kd tree
- class labels
- database
- nearest neighbor
- image processing
- feature points
- closed form
- knn
- computer vision
- data sets
- learning algorithm
- neural network
- pattern recognition