Dimensionality reduction for density ratio estimation in high-dimensional spaces.
Masashi SugiyamaMotoaki KawanabePui Ling ChuiPublished in: Neural Networks (2010)
Keyphrases
- dimensionality reduction
- density ratio estimation
- outlier detection
- least squares
- principal component analysis
- independent component analysis
- covariate shift
- high dimensional
- pattern recognition
- high dimensional data
- feature extraction
- density estimation
- density ratio
- low dimensional
- conditional density estimation
- data points
- feature selection
- unsupervised learning
- feature space
- model selection
- input space
- mixture model
- knowledge discovery
- metric learning
- semi supervised
- graph embedding
- data analysis
- databases
- data sets