A least squares formulation of multi-label linear discriminant analysis.
Xin ShuHuanliang XuLiang TaoPublished in: Neurocomputing (2015)
Keyphrases
- multi label
- linear discriminant analysis
- least squares
- equivalence relationship
- canonical correlation analysis
- text categorization
- multi label classification
- image classification
- dimensionality reduction
- feature extraction
- principal component analysis
- image annotation
- graph cuts
- learning tasks
- binary classification
- face recognition
- support vector machine svm
- support vector
- dimension reduction
- high dimensional data
- feature space
- class labels
- multi class
- text classification
- k nearest neighbor
- neural network
- high dimensionality
- optical flow
- knn
- latent dirichlet allocation
- pattern recognition
- higher order
- similarity measure
- semi supervised learning