Analyzing the Effects of Dimensionality Reduction for Unsupervised Domain Adaptation.
Renato Sergio Lopes JuniorWilliam Robson SchwartzPublished in: SIBGRAPI (2021)
Keyphrases
- dimensionality reduction
- principal component analysis
- data representation
- high dimensional
- structure preserving
- high dimensional data
- pattern recognition
- feature extraction
- low dimensional
- pattern recognition and machine learning
- principal components
- input space
- feature selection
- high dimensionality
- random projections
- feature space
- training set
- website
- image processing
- data sets
- linear dimensionality reduction
- semi supervised dimensionality reduction
- computer based instruction
- dimensionality reduction methods
- kernel learning
- linear discriminant analysis
- machine learning