Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.
HanQin CaiJialin LiuWotao YinPublished in: NeurIPS (2021)
Keyphrases
- outlier detection
- high dimensional
- parameter free
- high dimensional datasets
- dimensionality reduction
- principal component analysis
- detecting outliers
- low dimensional
- knowledge discovery
- fraud detection
- detection algorithm
- data streams
- density ratio estimation
- density estimation
- credit card fraud detection
- data mining
- distance based outlier detection
- high dimensional data
- feature space
- detect outliers
- outlier mining
- clustering algorithm
- high dimensionality
- feature extraction
- databases
- similarity search
- categorical data
- multi dimensional
- data points
- k means
- spatial outliers