Toward a Balanced Feature Space for the Deep Imbalanced Regression.
Jangho LeePublished in: IEEE Access (2023)
Keyphrases
- feature space
- mercer kernels
- imbalanced class distribution
- regression model
- model selection
- linear regression
- feature vectors
- principal component analysis
- image representation
- highly skewed
- high dimensional
- mean shift
- class imbalance
- input space
- regression analysis
- high dimensionality
- classification accuracy
- training set
- regression algorithm
- training samples
- rare class
- gaussian kernels
- hyperplane
- data points
- imbalanced datasets
- regression problems
- feature selection
- gaussian processes
- feature extraction
- support vector
- kernel function
- kernel methods
- dimension reduction
- imbalanced data sets
- high dimensional feature space
- class distribution
- imbalanced data
- simple linear
- regression method
- support vector machine
- regression function
- partial least squares
- image retrieval
- linear discriminant analysis
- data sets