On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA.
Ming-Bo ZhaoZhao ZhangTommy W. S. ChowZhou WuPublished in: IJCNN (2012)
Keyphrases
- null space
- linear discriminant analysis
- latent dirichlet allocation
- face recognition
- discriminant analysis
- topic models
- dimensionality reduction
- scatter matrix
- pattern recognition
- principal component analysis
- small sample size
- generative model
- feature extraction
- dimension reduction
- discriminative information
- novelty detection
- scatter matrices
- singular value decomposition
- principal components
- image features
- theoretical guarantees
- support vector
- upper bound
- data analysis
- learning algorithm
- support vector machine svm
- low dimensional