Principal Component Neural Networks Based Intrusion Feature Extraction and Detection Using SVM.
Hai-Hua GaoHui-Hua YangXing-Yu WangPublished in: ICNC (2) (2005)
Keyphrases
- principal components
- feature extraction
- principal component analysis
- neural network
- support vector machine svm
- kernel space
- dimensionality reduction
- hyperplane
- pattern recognition
- feature vectors
- feature space
- principal components analysis
- support vector
- anomaly detection
- feature set
- feature selection
- maximum variance
- intrusion detection
- multivariate data
- svm classifier
- correlation coefficient
- object detection
- support vector machine
- knn
- linear discriminant analysis
- image processing
- principal component regression
- image classification
- pattern classification
- face recognition
- discriminant analysis
- dimension reduction
- feature extraction and classification
- multi class
- machine learning
- covariance matrix
- extracted features
- training process
- training set
- artificial neural networks
- principal curves
- least squares
- maximum margin
- support vectors
- training algorithm
- prediction model
- linear regression
- data mining
- neural network model
- radial basis function
- data sets