Metric learning by discriminant neighborhood embedding.
Wei ZhangXiangyang XueZichen SunHong LuYue-Fei GuoPublished in: Pattern Recognit. (2008)
Keyphrases
- metric learning
- maximum variance unfolding
- locality preserving projections
- dimensionality reduction
- distance metric
- distance metric learning
- manifold structure
- semi supervised
- pairwise
- discriminant analysis
- machine learning and pattern recognition
- multi task
- nonlinear dimensionality reduction
- distance function
- learning tasks
- principal component analysis
- kernel matrix
- semi supervised clustering
- semi supervised learning
- low dimensional
- high dimensional
- feature space
- feature extraction
- face recognition
- unsupervised learning
- graph embedding
- geodesic distance
- laplacian eigenmaps
- mahalanobis metric
- manifold learning
- labeled data
- graph cuts
- query processing
- decision trees
- image processing
- machine learning