Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold.
Duc-Son PhamSvetha VenkateshPublished in: Australasian Conference on Artificial Intelligence (2011)
Keyphrases
- multi class
- subspace learning
- grassmann manifold
- semi supervised
- feature selection
- multi class classification
- dimensionality reduction
- support vector machine
- learning algorithm
- pairwise
- manifold learning
- data representation
- unsupervised learning
- linear subspace
- principal component analysis
- binary classification
- support vector
- sparse coding
- low dimensional
- supervised learning
- sparse representation
- face recognition
- support vector machine svm
- high dimensional data
- machine learning
- active learning
- semi supervised learning
- labeled data
- high dimensional
- stochastic gradient
- svm classifier
- text classification
- feature extraction
- pattern recognition
- component analysis
- knn