The Dimensionality Reduction of Feature Vectors by Generalized Cross Product.
Jinwen WeiYanling ChenJunjie GuoPublished in: ISCSCT (2) (2008)
Keyphrases
- feature vectors
- dimensionality reduction
- feature extraction
- euclidean distance
- feature space
- principal component analysis
- low dimensional
- high dimensional data
- data representation
- feature set
- high dimensional
- rotation invariant
- high dimensionality
- gaussian mixture model
- pattern recognition
- dimensionality reduction methods
- nonlinear dimensionality reduction
- product design
- face images
- structure preserving
- kernel learning
- kernel pca
- input space
- neural network
- life cycle
- texture features
- principal components
- least squares
- support vector machine
- data points
- similarity measure
- image processing
- feature selection
- multidimensional scaling
- machine learning
- data sets
- pattern recognition and machine learning