Mean-square estimation with high dimensional log-concave noise.
Ankur A. KulkarniPublished in: CDC (2016)
Keyphrases
- high dimensional
- noisy data
- estimation problems
- random noise
- estimation error
- intrinsic dimensionality
- dimensionality reduction
- multi dimensional
- sparse data
- accurate estimation
- noise level
- signal subspace
- noise reduction
- parameter space
- missing data
- noise sensitivity
- data points
- maximum likelihood estimation
- robust estimation
- similarity search
- generalized linear models
- color images
- nearest neighbor
- low dimensional
- noise free
- estimation accuracy
- additive noise
- estimation algorithm
- high dimensionality
- data sets
- gene expression data
- signal to noise ratio