Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis.
Fei YanJosef KittlerKrystian MikolajczykMuhammad Atif TahirPublished in: ICDM (2009)
Keyphrases
- fisher discriminant analysis
- multiple kernel learning
- kernel methods
- linear combination
- kernel learning
- semi supervised learning
- discriminant analysis
- kernel trick
- learning problems
- kernel function
- binary classification
- learning models
- maximum margin
- factor analysis
- multi task
- support vectors
- visual information
- unsupervised learning
- machine learning
- semi supervised
- sparse coding
- support vector machine
- classification accuracy
- high dimensional
- training data