Generative Subspace Adversarial Active Learning for Outlier Detection in Multiple Views of High-dimensional Data.
Jose Cribeiro-RamalloVadim ArzamasovFederico MatteucciDenis WamboldKlemens BöhmPublished in: CoRR (2024)
Keyphrases
- multiple views
- high dimensional data
- outlier detection
- active learning
- subspace clustering
- multi view
- high dimensional datasets
- low dimensional
- dimensionality reduction
- viewpoint
- nearest neighbor
- high dimensional
- generative model
- semi supervised
- data analysis
- d objects
- original data
- single view
- lower dimensional
- clustering high dimensional data
- high dimensionality
- data sets
- detection algorithm
- similarity search
- data streams
- knowledge discovery
- data points
- linear subspace
- manifold learning
- range images
- machine learning
- detecting outliers
- low rank
- high dimensional spaces
- labeled data
- supervised learning
- data mining
- subspace learning
- learning algorithm
- semi supervised learning
- clustering algorithm
- multi dimensional
- transfer learning
- learning process
- pattern recognition
- input data
- pairwise
- distance function