Feature extraction using two-dimensional local graph embedding based on maximum margin criterion.
Minghua WanZhihui LaiZhong JinPublished in: Appl. Math. Comput. (2011)
Keyphrases
- graph embedding
- maximum margin criterion
- subspace learning
- feature extraction
- dimensionality reduction
- principal component analysis
- discriminant analysis
- manifold learning
- face recognition
- low dimensional
- feature representation
- multiple kernel
- data representation
- linear discriminant analysis
- dimension reduction
- semi supervised
- feature space
- feature vectors
- high dimensional
- image classification
- feature selection
- sparse representation
- support vector machine svm
- nonlinear dimensionality reduction
- pattern recognition
- image processing
- euclidean distance
- sparse coding
- high dimensional data
- unsupervised learning
- learning algorithm
- label information
- signal processing