Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.
HanQin CaiJialin LiuWotao YinPublished in: CoRR (2021)
Keyphrases
- outlier detection
- high dimensional
- parameter free
- high dimensional datasets
- dimensionality reduction
- principal component analysis
- low dimensional
- fraud detection
- density ratio estimation
- data streams
- detection algorithm
- knowledge discovery
- feature space
- detecting outliers
- credit card fraud detection
- detect outliers
- outlier mining
- data points
- density estimation
- multi dimensional
- machine learning
- data mining
- intrusion detection
- distance based outlier detection
- high dimensional data
- databases
- support vector machine
- real world