A Semi-supervised SVM for Manifold Learning.
Zhili WuChun-hung LiJi ZhuJian HuangPublished in: ICPR (2) (2006)
Keyphrases
- manifold learning
- semi supervised
- svm classifier
- feature mapping
- support vector machine svm
- support vector
- subspace learning
- semi supervised learning
- labeled data
- diffusion maps
- kernel machines
- pairwise
- nonlinear dimensionality reduction
- support vector machine
- laplacian eigenmaps
- active learning
- knn
- unsupervised learning
- supervised learning
- dimensionality reduction
- unlabeled data
- kernel function
- training data
- feature extraction
- support vectors
- feature selection
- neural network
- low dimensional
- high dimensional
- dimension reduction
- multi class classification
- manifold structure
- feature vectors
- input space
- low rank
- maximum margin
- computer vision
- label information
- data sets
- graph embedding
- pattern recognition