Customized Orthogonal Locality Preserving Projections With Soft-Margin Maximization for Face Recognition.
John SolderaCarlos Alberto Ramirez BehaineJacob ScharcanskiPublished in: IEEE Trans. Instrum. Meas. (2015)
Keyphrases
- locality preserving projections
- margin maximization
- face recognition
- dimensionality reduction
- discriminative information
- linear discriminant analysis
- principal component analysis
- dimension reduction
- support vector
- data representation
- manifold learning
- metric learning
- recognition rate
- training samples
- feature space
- subspace methods
- linear subspace
- low dimensional
- subspace learning
- unsupervised learning
- feature selection
- feature extraction
- high dimensional data
- euclidean distance
- discriminative features
- high dimensional
- face databases
- face images
- support vector machine
- pattern recognition
- computer vision
- data samples
- covariance matrix
- machine learning
- local binary pattern
- high dimensionality
- intra class
- singular value decomposition
- sparse representation
- semi supervised
- multi class
- data points
- locally linear embedding
- manifold structure
- pairwise