High-level feature extraction using SVM with walk-based graph kernel.
Jean-Philippe VertTomoko MatsuiShin'ichi SatohYuji UchiyamaPublished in: ICASSP (2009)
Keyphrases
- graph kernels
- feature extraction
- support vector machine svm
- high level
- kernel function
- kernel methods
- support vector
- feature vectors
- feature space
- feature selection
- kernel machines
- support vector machine
- svm classifier
- support vectors
- structured data
- random walk
- gaussian processes
- linear discriminant analysis
- data representation
- knn
- multi class
- dimensionality reduction
- image classification
- face recognition
- pattern recognition
- dimension reduction
- feature set
- image processing
- link prediction
- data sets
- principal component analysis
- kernel matrix
- machine learning
- binary classification
- high dimensional