Traffic Sign Recognition Based on Linear Discriminant Analysis.
Sheila Esmeralda González-ReynaJuan Gabriel Aviña-CervantesSergio Eduardo Ledesma-OrozcoIvan Cruz-AcevesMa. de Guadalupe García-HernándezPublished in: MICAI (2) (2013)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- discriminant features
- null space
- feature extraction
- support vector
- small sample size
- feature space
- dimension reduction
- support vector machine svm
- principal components analysis
- high dimensional data
- discriminative information
- fisher criterion
- multivariate statistical
- dealing with high dimensional data
- subspace methods
- computer vision
- class separability
- scatter matrices
- feature vectors
- machine learning
- low dimensional
- locality preserving projections
- linear discriminant
- image processing
- scatter matrix