Singular Value Decomposition Projection for solving the small sample size problem in face recognition.
Changpeng WangJiang-She ZhangGuodong ChangQiao KePublished in: J. Vis. Commun. Image Represent. (2015)
Keyphrases
- singular value decomposition
- null space
- face recognition
- linear discriminant analysis
- principal component analysis
- dimensionality reduction
- singular values
- least squares
- discriminant analysis
- projection matrix
- dimension reduction
- scatter matrices
- latent semantic indexing
- face images
- small sample size
- computer vision
- qr decomposition
- low rank
- data sets
- subspace learning
- sparse representation
- low dimensional
- feature extraction
- low rank matrix
- singular vectors
- high dimensionality
- vector space
- data matrix
- support vector
- image processing