Influence of Noisy and High-Dimensional Data on Semi-Supervised Learning.
Tianya HouHyunjung ShinPublished in: DMIN (2009)
Keyphrases
- high dimensional data
- semi supervised learning
- unlabeled data
- semi supervised
- labeled data
- data points
- dimensionality reduction
- low dimensional
- nearest neighbor
- data sets
- data analysis
- subspace clustering
- high dimensionality
- supervised learning
- machine learning
- high dimensional
- similarity search
- unsupervised learning
- original data
- data distribution
- dimension reduction
- missing values
- training data
- co training
- low rank
- labeled and unlabeled data
- input space
- sparse representation
- linear discriminant analysis
- subspace learning
- manifold learning
- knn
- pattern recognition
- pairwise
- metric learning
- active learning
- random projections
- text classification
- input data
- transfer learning
- similarity measure