Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications.
Quanxue GaoQianqian WangYunfang HuangXinbo GaoXin HongHailin ZhangPublished in: IEEE Trans. Image Process. (2015)
Keyphrases
- sparse representation
- dimensionality reduction
- fisher criterion
- linear discriminant
- subspace learning
- linear discriminant analysis
- high dimensional data
- dictionary learning
- sparse coding
- discriminant analysis
- high dimensional
- random projections
- principal component analysis
- low dimensional
- feature extraction
- data representation
- manifold learning
- pattern recognition
- unsupervised learning
- feature space
- high dimensionality
- image patches
- face recognition
- dimension reduction
- feature selection
- lower dimensional
- singular value decomposition
- data points
- principal components
- image representation
- metric learning
- signal processing
- active learning
- image classification
- pairwise
- neural network