Deep Bottleneck Classifiers in Supervised Dimension Reduction.
Elina ParviainenPublished in: ICANN (3) (2010)
Keyphrases
- dimension reduction
- feature selection
- unsupervised learning
- feature space
- feature subspace
- principal component analysis
- high dimensional
- low dimensional
- high dimensional problems
- training data
- dimensionality reduction
- feature extraction
- variable selection
- decision trees
- partial least squares
- supervised learning
- high dimensionality
- random projections
- linear discriminant analysis
- support vector
- feature set
- discriminative information
- dimension reduction methods
- high dimensional data
- machine learning
- singular value decomposition
- learning algorithm
- machine learning algorithms
- cluster analysis
- svm classifier
- training set
- preprocessing
- manifold learning
- support vector machine
- classification models
- training samples
- maximum likelihood
- semi supervised
- qr decomposition
- pattern recognition
- high dimensional data analysis