Provably Good Early Detection of Diseases using Non-Sparse Covariance-Regularized Linear Discriminant Analysis.
Haoyi XiongYanjie FuWenqing HuGuanling ChenLaura E. BarnesPublished in: CoRR (2016)
Keyphrases
- early detection
- linear discriminant analysis
- discriminant analysis
- early diagnosis
- discriminant information
- face recognition
- kernel discriminant analysis
- dimensionality reduction
- breast cancer
- null space
- principal component analysis
- diabetic retinopathy
- theoretical guarantees
- small sample size
- feature extraction
- support vector
- feature space
- high dimensional
- high dimensional data
- dimension reduction
- support vector machine svm
- lung cancer
- fisher discriminant analysis
- fisher criterion
- covariance matrix
- sparse representation
- least squares
- worst case
- skin cancer
- canonical correlation analysis
- scatter matrix
- neural network
- random projections
- data points
- objective function
- covariance matrices
- semi supervised
- pairwise
- image processing
- data sets
- qr decomposition