Synthetic over-sampling in the empirical feature space.
María Pérez-OrtizPedro Antonio GutiérrezCésar Hervás-MartínezPublished in: ESANN (2013)
Keyphrases
- feature space
- high dimensional
- mean shift
- kernel function
- real images are presented
- theoretical analysis
- high dimensionality
- input space
- image retrieval
- random sampling
- sampling strategy
- data points
- dimension reduction
- sample space
- low dimensional
- machine learning
- sampling strategies
- real world
- dimensionality reduction
- principal component analysis
- classification accuracy
- feature extraction
- image segmentation
- data sets
- training samples
- sample size
- image representation
- monte carlo
- feature vectors
- feature selection