Feature Space Saturation during Training.
Mats L. RichterJustin ShenkWolf ByttnerAnna WiedenrothMikael HussPublished in: BMVC (2021)
Keyphrases
- feature space
- training set
- training samples
- high dimensional
- training process
- low dimensional
- feature vectors
- training algorithm
- classification accuracy
- mean shift
- visual words
- feature set
- supervised learning
- dimension reduction
- input space
- hyperplane
- feature selection
- data sets
- linear discriminant analysis
- training dataset
- kernel function
- input data
- data points
- pairwise
- training data
- feature extraction
- computer vision
- neural network