Design of Radial Basis Function Neural Networks with Principal Component Analysis and Linear Discriminant Analysis for Black Plastic Identification.
Seok-Beom RohSung-Kwun OhEun Kyu ParkWoo Zin ChoiPublished in: SCIS&ISIS (2016)
Keyphrases
- linear discriminant analysis
- principal component analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- dimension reduction
- radial basis function neural network
- feature space
- principal components
- high dimensional data
- support vector
- fisher criterion
- low dimensional
- support vector machine svm
- pattern classification
- feature extraction
- linear projection
- null space
- covariance matrix
- face images
- independent component analysis
- singular value decomposition
- machine learning
- factor analysis
- lower dimensional
- high dimensional
- data analysis
- feature selection