Optimal Bayes Classification of High Dimensional Data in Face Recognition.
Wissal DriraFaouzi GhorbelPublished in: ICPRAM (2013)
Keyphrases
- high dimensional data
- face recognition
- linear discriminant analysis
- dimensionality reduction
- sparse representation
- low dimensional
- high dimensionality
- nearest neighbor
- high dimensional
- subspace learning
- subspace clustering
- data analysis
- data sets
- small sample size
- similarity search
- data points
- dimension reduction
- discriminant analysis
- principal component analysis
- variable selection
- bayes classification
- high dimensional spaces
- manifold learning
- dynamic programming
- lower dimensional
- high dimensional datasets
- clustering high dimensional data
- optimal solution
- feature vectors
- database
- high dimensional data sets
- feature space
- feature extraction
- feature selection
- input data
- nonlinear dimensionality reduction
- support vector machine