Class-Specific Subspace Discriminant Analysis for High-Dimensional Data.
Charles BouveyronStéphane GirardCordelia SchmidPublished in: SLSFS (2005)
Keyphrases
- high dimensional data
- class specific
- discriminant analysis
- linear discriminant analysis
- dimensionality reduction
- low dimensional
- subspace clustering
- dictionary learning
- principal component analysis
- sparse representation
- nearest neighbor
- image classification
- high dimensional
- dimension reduction
- feature extraction
- lower dimensional
- null space
- object categories
- subspace learning
- face recognition
- data sets
- data points
- data analysis
- small sample size
- manifold learning
- object classes
- input data
- scatter matrices
- cluster analysis
- object detection
- knn
- neural network