Face Recognition by SVMs Classification and Manifold Learning of 2D and 3D Radial Geodesic. Distances.
Stefano BerrettiAlberto Del BimboPietro PalaFrancisco Silva-MataPublished in: 3DOR@Eurographics (2008)
Keyphrases
- manifold learning
- geodesic distance
- feature extraction
- support vector
- face recognition
- feature space
- dimension reduction
- dimensionality reduction
- support vector machine svm
- low dimensional
- feature selection
- sparse representation
- nonlinear dimensionality reduction
- discriminant embedding
- semi supervised
- linear discriminant analysis
- high dimensional
- support vector machine
- high dimensional data
- training set
- shortest path
- machine learning
- principal component analysis
- manifold structure
- image classification
- preprocessing
- pattern recognition
- decision trees
- feature vectors
- multi class classification
- locally linear embedding
- high dimensionality
- supervised learning
- face images
- signal processing