Subspace Methods with Globally/Locally Weighted Correlation Matrix.
Yukihiko YamashitaToru WakaharaPublished in: ICPR (2010)
Keyphrases
- correlation matrix
- locally weighted
- subspace methods
- linear regression
- covariance matrix
- regression model
- principal component analysis
- naive bayes
- singular value decomposition
- ensemble methods
- multiple models
- linear discriminant analysis
- face recognition
- regression problems
- principal components
- blind source separation
- benchmark datasets
- support vector machine
- genetic programming
- face databases
- linear subspace
- least squares
- decision trees
- data sets
- feature space
- non stationary
- lower dimensional
- text mining
- feature extraction
- classification accuracy