Multimodal Linear Discriminant Analysis via Structural Sparsity.
Yu ZhangYuan JiangPublished in: IJCAI (2017)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- discriminant features
- dimension reduction
- feature extraction
- support vector
- small sample size
- high dimensional data
- feature space
- subspace methods
- null space
- support vector machine svm
- high dimensional
- principal components analysis
- sparse representation
- fisher criterion
- class separability
- multivariate statistical
- dealing with high dimensional data
- discriminative information
- nonparametric discriminant analysis
- linear discriminant
- discriminant information
- discriminant vectors
- generalized discriminant analysis
- high dimensionality
- feature selection
- input image
- nearest neighbor
- pattern recognition
- training data
- image processing