Two Subspace-Based Kernel Local Discriminant Embedding.
Fadi DornaikaAlireza BosaghzadehPublished in: ICANN (2014)
Keyphrases
- discriminant embedding
- graph embedding
- locality preserving
- low dimensional
- feature space
- dimensionality reduction
- subspace learning
- manifold learning
- discriminant information
- pattern classification
- kernel trick
- high dimensional
- kernel pca
- face recognition
- high dimensional data
- embedding space
- principal component analysis
- data representation
- linear subspace
- kernel methods
- semi supervised
- lower dimensional
- high dimensionality
- locality preserving projections
- kernel function
- support vector
- small sample size
- kernel regression
- feature extraction
- locality sensitive hashing
- high dimensional feature space
- subspace methods
- pattern recognition
- data points
- distance measure
- principal components
- kernel learning
- multiple kernel learning
- feature representation
- hash functions
- discriminant analysis
- sparse coding