Robustness of Linear Discriminant Analysis in Automatic Speech Recognitio.
Marcel KatzHans-Günter MeierHans DolfingDietrich KlakowPublished in: ICPR (3) (2002)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- discriminant features
- feature extraction
- small sample size
- feature space
- null space
- fisher criterion
- support vector
- linear discriminant
- subspace methods
- high dimensional data
- principal components analysis
- dealing with high dimensional data
- support vector machine svm
- speech signal
- multivariate statistical
- class separability
- scatter matrices
- data sets
- locality preserving projections
- pattern recognition
- nonparametric discriminant analysis
- cluster analysis
- face detection
- low dimensional
- feature vectors
- computer vision
- machine learning
- supervised dimensionality reduction