Dimensionality Reduction with Generalized Linear Models.
Mo ChenWei LiXiaogang WangWei ZhangPublished in: IJCAI (2013)
Keyphrases
- generalized linear models
- dimensionality reduction
- high dimensional
- regression model
- logistic regression
- linear regression
- principal component analysis
- low dimensional
- high dimensional data
- high dimensionality
- data points
- pattern recognition
- feature extraction
- feature selection
- linear discriminant analysis
- unsupervised learning
- feature space
- metric learning
- optical flow
- model selection
- least squares
- support vector
- regression methods
- dirichlet process
- decision trees