Two-dimensional canonical correlation analysis and its application in small sample size face recognition.
Ning SunZhen-hai JiCairong ZouLi ZhaoPublished in: Neural Comput. Appl. (2010)
Keyphrases
- small sample size
- canonical correlation analysis
- face recognition
- linear discriminant analysis
- discriminant analysis
- partial least squares
- dimensionality reduction methods
- canonical correlations
- face images
- least squares
- principal component analysis
- dimension reduction
- sample size
- discriminant embedding
- feature extraction
- equivalence relationship
- high dimensionality
- dimensionality reduction
- microarray data
- high dimensional
- locality preserving projections
- computer vision
- high dimensional data
- feature space
- feature selection
- data sets
- neural network
- subspace analysis
- subspace methods
- subspace learning
- feature vectors
- nearest neighbor
- sparse representation