On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions.
Xiao CaiChris H. Q. DingFeiping NieHeng HuangPublished in: KDD (2013)
Keyphrases
- low rank
- linear discriminant analysis
- high dimensional data
- low rank matrix
- discriminant analysis
- dimensionality reduction
- linear model
- singular value decomposition
- principal component analysis
- face recognition
- null space
- matrix factorization
- dimension reduction
- linear combination
- missing data
- matrix completion
- convex optimization
- nearest neighbor
- feature extraction
- high order
- data sets
- high dimensional
- low dimensional
- feature space
- semi supervised
- support vector machine svm
- data points
- support vector
- singular values
- high dimensionality
- least squares
- kernel matrix
- data analysis
- original data
- neural network
- subspace clustering
- collaborative filtering
- gene expression data
- manifold learning
- active learning
- feature selection
- signal processing