Exploiting graph embedding in support vector machines.
Georgios ArvanitidisAnastasios TefasPublished in: MLSP (2012)
Keyphrases
- graph embedding
- support vector
- low dimensional
- cross view
- data representation
- discriminant analysis
- semi supervised
- dimensionality reduction
- discriminant embedding
- subspace learning
- support vector machine
- classification accuracy
- high dimensional
- loss function
- feature representation
- kernel function
- linear discriminant analysis
- machine learning
- training data