Metric Learning: A general dimension reduction framework for classification and visualization.
Chunyuan LuGuocan FengJianmin JiangPatrick S. P. WangPublished in: ICPR (2008)
Keyphrases
- dimension reduction
- sparse metric learning
- metric learning
- distance metric learning
- discriminative information
- feature space
- dimensionality reduction
- feature extraction
- distance metric
- high dimensionality
- principal component analysis
- high dimensional
- multi task
- high dimensional data
- random projections
- manifold learning
- low dimensional
- feature selection
- unsupervised learning
- pairwise
- kernel learning
- machine learning
- cluster analysis
- feature vectors
- object recognition
- multiple features
- text mining
- image classification
- singular value decomposition
- linear discriminant analysis
- data mining
- linear transformation
- pattern recognition
- data analysis
- knowledge discovery
- decision trees
- dimensionality reduction methods
- probabilistic model
- neural network
- support vector machine