Rear-end Collision warning system using linear discriminant analysis.
Jhonghyun AnBaehoon ChoiBeomseong KimEuntai KimJaeho HwangPublished in: SCIS&ISIS (2014)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- dimension reduction
- small sample size
- discriminant features
- support vector
- high dimensional data
- feature extraction
- principal components analysis
- null space
- support vector machine svm
- class separability
- linear discriminant
- scatter matrix
- discriminative information
- fisher criterion
- subspace methods
- multivariate statistical
- linear projection
- feature space
- dealing with high dimensional data
- high dimensionality
- locality preserving projections
- feature selection
- nonparametric discriminant analysis
- data sets