Face Recognition using PCA and LDA with Singular Value Decomposition (SVD).
Neeta NainNitish AgarwalPrashant GourRakesh P. TalawarSubhash ChandraPublished in: IPCV (2008)
Keyphrases
- singular value decomposition
- principal component analysis
- face images
- linear discriminant analysis
- dimensionality reduction
- dimension reduction
- face recognition
- face databases
- null space
- principle component analysis
- linear discriminate analysis
- singular values
- discriminant analysis
- latent semantic analysis
- feature extraction
- principal components
- low rank
- latent semantic indexing
- low dimensional
- covariance matrix
- high dimensional data
- scatter matrices
- feature space
- reconstruction error
- least squares
- facial expressions
- qr decomposition
- gender recognition
- manifold learning
- random projections
- negative matrix factorization
- lower dimensional
- computer vision
- nonnegative matrix factorization
- latent dirichlet allocation
- low rank approximation
- low rank matrix
- feature points
- machine learning
- neural network
- missing values
- factorization method
- feature selection
- singular vectors