Principal Manifolds and Bayesian Subspaces for Visual Recognition.
Baback MoghaddamPublished in: ICCV (1999)
Keyphrases
- visual recognition
- low dimensional
- image classification
- high dimensional data
- high dimensional
- object recognition
- low dimensional spaces
- manifold learning
- visual recognition tasks
- euclidean space
- feature space
- visual categorization
- bayesian networks
- maximum likelihood
- data points
- view independent
- principal component analysis