Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction.
Sheng HuangAhmed M. ElgammalLuwen HuangfuDan YangXiaohong ZhangPublished in: CVPR Workshops (2014)
Keyphrases
- locality preserving projections
- dimensionality reduction
- biometric data
- security systems
- security level
- principal component analysis
- biometric systems
- linear discriminant analysis
- high dimensional data
- subspace learning
- high dimensional
- data representation
- low dimensional
- manifold learning
- feature selection
- pattern recognition
- feature extraction
- locally linear embedding
- dimensionality reduction methods
- data points
- biometric authentication
- high dimensionality
- unsupervised learning
- feature space
- lower dimensional
- euclidean distance
- fingerprint images
- dimension reduction
- sparse representation
- semi supervised
- face recognition
- metric learning
- rule based systems
- principal components analysis
- image segmentation
- image processing