Sampling Representative Examples for Dimensionality Reduction and Recognition - Bootstrap Bumping LDA.
Hui GaoJames W. DavisPublished in: ECCV (3) (2006)
Keyphrases
- dimensionality reduction
- linear discriminant analysis
- feature extraction
- pattern recognition
- principal component analysis
- recognition rate
- high dimensional
- feature selection
- high dimensional data
- bootstrap sampling
- discriminant analysis
- dimension reduction
- data representation
- low dimensional
- face recognition
- feature space
- recognition accuracy
- principal components
- subspace learning
- manifold learning
- linear dimensionality reduction
- high dimensionality
- latent dirichlet allocation
- object recognition
- singular value decomposition
- random projections
- lower dimensional
- action recognition
- data points
- random sampling
- null space
- supervised dimensionality reduction
- dealing with high dimensional data
- cross validation
- gabor features
- visual recognition
- training examples
- topic models
- neural network
- monte carlo