Least Square Incremental Linear Discriminant Analysis.
Li-Ping LiuYuan JiangZhi-Hua ZhouPublished in: ICDM (2009)
Keyphrases
- linear discriminant analysis
- least squares
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- support vector
- dimension reduction
- small sample size
- high dimensional data
- feature extraction
- null space
- discriminant features
- linear discriminant
- feature space
- multivariate statistical
- principal components analysis
- discriminative information
- support vector machine svm
- scatter matrix
- dealing with high dimensional data
- subspace methods
- scatter matrices
- fisher criterion
- supervised dimensionality reduction
- data mining
- data sets
- class separability
- nearest neighbor
- computer vision
- locality preserving projections
- machine learning
- equivalence relationship