Discriminant analysis in pairwise kernel learning for SVM classification.
Hao JiangWai-Ki ChingDelin ChuPublished in: Int. J. Bioinform. Res. Appl. (2012)
Keyphrases
- discriminant analysis
- svm classification
- kernel learning
- pairwise
- kernel function
- pairwise constraints
- kernel discriminant analysis
- linear discriminant analysis
- support vector machine
- support vector machine svm
- semi supervised
- support vector
- support vector regression
- kernel matrix
- kernel methods
- feature space
- feature extraction
- face recognition
- multi class
- svm classifier
- principal component analysis
- input space
- metric learning
- multiple kernel learning
- multiclass classification
- similarity measure
- loss function
- support vectors
- high dimensional
- classification method
- image classification
- classification accuracy
- spectral clustering
- hyperplane
- dimensionality reduction
- cluster analysis
- cross validation
- data sets
- semi supervised learning
- unsupervised learning
- knn
- learning algorithm
- machine learning
- data mining
- neural network