High-Dimensional Robust Mean Estimation via Outlier-Sparsity Minimization.
Aditya DeshmukhJing LiuVenugopal V. VeeravalliPublished in: ACSCC (2021)
Keyphrases
- high dimensional
- robust estimation
- sparse data
- high dimensionality
- low dimensional
- estimation problems
- robust regression
- intrinsic dimensionality
- dimensionality reduction
- feature space
- nearest neighbor
- orientation estimation
- highly discriminative
- partial occlusion
- estimation error
- accurate estimation
- half quadratic
- parameter space
- estimation algorithm
- variable selection
- density estimation
- neural network
- microarray data
- outlier detection
- similarity search
- high dimensional data
- multi dimensional
- data points
- objective function
- feature extraction