Instance Specific Metric Subspace Learning: A Bayesian Approach.
Han-Jia YeDe-Chuan ZhanYuan JiangPublished in: AAAI (2016)
Keyphrases
- subspace learning
- dimensionality reduction
- manifold learning
- low dimensional
- data representation
- principal component analysis
- maximum margin criterion
- data sets
- fisher information
- metric space
- high dimensional data
- image representation
- higher order
- semi supervised
- high dimensional
- feature extraction
- face recognition
- learning algorithm
- neural network