Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis.
Hayden S. HelmWeiwei YangAshwin De SilvaJoshua T. VogelsteinCarey E. PriebePublished in: CoRR (2023)
Keyphrases
- domain adaptation
- approximately optimal
- linear discriminant analysis
- linear discriminant
- fisher criterion
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- multiple sources
- mechanism design
- cross domain
- labeled data
- semi supervised
- high dimensional data
- feature space
- support vector machine svm
- target domain
- support vector
- null space
- semi supervised learning
- transfer learning
- test data
- approximation ratio
- unlabeled data
- sentiment classification
- data points
- high dimensional
- text classification
- reinforcement learning
- neural network