Dimensionality Reduction Using Stacked Kernel Discriminant Analysis for Multi-label Classification.
Muhammad Atif TahirAhmed BouridaneJosef KittlerPublished in: MCS (2013)
Keyphrases
- kernel discriminant analysis
- multi label classification
- dimensionality reduction
- multi class
- multi label
- discriminant analysis
- binary classifiers
- binary classification
- kernel trick
- linear discriminant analysis
- semi supervised learning
- image annotation
- pattern recognition
- face recognition
- semi supervised
- high dimensional
- feature selection
- classification algorithm
- text categorization
- high dimensional data
- low dimensional
- data points
- kernel learning
- dimensionality reduction methods
- feature space
- kernel function
- feature extraction
- unsupervised learning
- principal component analysis
- support vector machine
- high dimensionality
- graph cuts
- pairwise
- neural network
- class labels
- data sets
- image classification
- higher order
- similarity measure
- machine learning