Variational autoencoder-based outlier detection for high-dimensional data.
Yongmou LiYijie WangXingkong MaPublished in: Intell. Data Anal. (2019)
Keyphrases
- outlier detection
- high dimensional data
- high dimensional datasets
- high dimensional
- data sets
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensionality
- detection algorithm
- subspace clustering
- data analysis
- knowledge discovery
- similarity search
- detecting outliers
- image segmentation
- density ratio estimation
- data points
- data streams
- missing values
- data mining
- data distribution
- density estimation
- low rank
- clustering high dimensional data
- input data
- optical flow
- high dimensional spaces
- dimensional data
- input space
- data structure
- detect outliers
- computer vision
- pairwise
- principal component analysis
- feature selection
- clustering algorithm
- database
- image processing