Dpca: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets.
Gang WangJia ChenGeorgios B. GiannakisPublished in: ICASSP (2018)
Keyphrases
- dimensionality reduction
- dimensionality reduction methods
- feature extraction
- principal component analysis
- high dimensional data
- class discrimination
- feature selection
- high dimensional
- low dimensional
- unsupervised learning
- data sets
- pattern recognition
- principal components
- lower dimensional
- real world
- face recognition
- learning analytics
- feature space
- database
- euclidean distance
- linear discriminant analysis
- real life
- image recognition
- kernel learning
- neural network
- extracting features
- structure preserving
- pattern recognition and machine learning
- knowledge discovery