Distributed multivariate regression with unknown noise covariance in the presence of outliers: An MDL approach.
Roberto López-ValcarceDaniel RomeroJosep SalaAlba Pagès-ZamoraPublished in: SSP (2016)
Keyphrases
- multivariate regression
- missing data
- model selection
- regression model
- noisy data
- distributed systems
- distributed environment
- noise level
- outlier detection
- noise model
- robust statistical
- measurement error
- linear regression
- cooperative
- lightweight
- computer vision
- computing environments
- communication cost
- median filter
- arbitrary shape
- signal to noise ratio
- imaging artifacts
- additive noise
- noisy images
- mobile agents
- peer to peer
- training data