Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification.
Gürhan CeylanS. Ilker BirbilPublished in: CoRR (2020)
Keyphrases
- discriminant functions
- low dimensional
- discriminant function
- support vector
- support vector machine
- classification algorithm
- discriminant analysis
- covariance matrices
- feature space
- classification accuracy
- high dimensional
- input space
- pattern recognition
- feature vectors
- kernel function
- feature extraction
- decision rules
- k nearest neighbor
- classification error
- covariance matrix
- cross validation
- high dimensional data
- training samples
- computer vision
- dimensionality reduction
- knn
- training set
- decision trees