A method for determining the number of features in the kernel space required for preserving classifiability.
Mahdi YektaiiM. Omair AhmadPrabir BhattacharyaPublished in: Signal Image Video Process. (2015)
Keyphrases
- kernel space
- principal components
- input data
- probabilistic model
- support vector machine
- classification process
- classification method
- cross validation
- graph cuts
- feature set
- classification accuracy
- feature space
- feature vectors
- computer vision
- high dimensional
- pairwise
- training samples
- objective function
- classification algorithm
- similarity measure
- feature extraction
- feature subset
- hyperplane
- decision trees
- feature selection