Kernel Sample Space Projection Classifier for Pattern Recognition.
Yoshikazu WashizawaYukihiko YamashitaPublished in: ICPR (2) (2004)
Keyphrases
- sample space
- feature space
- pattern recognition
- hyperplane
- linear classifiers
- feature extraction
- kernel function
- support vector
- kernel methods
- training samples
- training set
- feature selection
- feature set
- input data
- support vector machine
- neural network
- high dimensional
- dimensionality reduction
- kernel matrix
- signal processing
- feature vectors
- input space
- image processing
- small sample size
- svm classifier
- classification accuracy
- principal component analysis
- data points
- dimension reduction
- support vector machine svm
- high dimensional feature space
- multiple kernel learning
- machine learning
- computer vision
- data sets
- linear discriminant analysis
- face recognition
- high dimensionality
- kernel pca
- nearest neighbor classifier
- training data
- decision trees